Modem Testing Jobs in Bengaluru

Data Scientist I Job Type: Full-Time Category: Data Science Location: Bangalore About Bright Money Bright is a mission-driven consumer fintech company helping Americans get out of debt and build stronger financial futures powered by data science and machine learning. Our mobile platform provides personalized tools for credit building, debt paydown, budgeting, and loan refinancing. With 300,000+ users, 100,000+ reviews, and support from top-tier investors like Sequoia, Falcon Edge, and Hummingbird, Bright is one of the fastest-growing fintech startups in the U.S. We ve raised $90M+ in equity and debt funding to date. We're proud to be building a global-first, data-driven consumer tech company from India, for the world. About the Role As a Data Scientist I, you will be part of a high-impact team using data and machine learning to power Bright s core financial products. You ll work on problems that directly improve users financial outcomes modeling behavior, predicting intent, and enabling smarter, automated experiences. This is a hands-on role for someone with strong fundamentals in ML, statistics, and programming, and a desire to turn data into real-world product impact. Key Responsibilities Design and build predictive models using core concepts of machine learning, statistics, and probability. Analyze large-scale user and transactional data to extract insights and inform strategy. Collaborate cross-functionally with product managers, engineers, and business stakeholders to define and solve problems. Deploy ML models into production environments, ensuring scalability, stability, and performance. Tune, evaluate, and interpret model results to maximize business value and user outcomes. Document methodologies and workflows for reproducibility and team collaboration. Stay current with AI/ML advancements and experiment with new techniques as appropriate. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Strong grasp of ML and statistical concepts (e.g., regression, classification, hypothesis testing, probability distributions). Proficiency in Python or R, and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with model deployment tools and frameworks (e.g., Docker, Flask/FastAPI, MLflow). Understanding of how to implement and monitor models in a real-world production environment. Awareness of modern AI techniques including transformers, LLMs, and generative AI. Strong problem-solving skills, curiosity, and ability to communicate complex ideas clearly. Exposure to cloud platforms like AWS, GCP, or Azure is a plus. Bonus Points For Experience with deep learning and advanced neural network architectures. Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining pipelines). Personal projects, open-source contributions, or research publications in AI/ML. What You ll Work On Model user behavior and financial patterns to power intelligent product features. Analyze complex transaction datasets to surface actionable insights. Build and deploy ML systems that personalize savings and debt management strategies. Apply deep learning, reinforcement learning, and LLMs to real-world fintech use cases. Collaborate with engineering and product teams to launch data-powered experiences in the Bright app. Experiment with cutting-edge AI technologies to innovate in consumer finance. At Bright, you ll go beyond theory you ll use data to change lives. This is your chance to build meaningful, scalable machine learning systems that empower users to take control of their financial future. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Job Title: Senior System Engineer Job Type: Full-Time Location: Bangalore Experience Required: 5 10 Years Education: B.E / B.Tech in Electronics & Communication (ECE), Electrical & Electronics (EEE), or Instrumentation Job Summary: We are looking for an experienced and technically proficient Senior System Engineer to lead the design, analysis, and testing of RF systems. The ideal candidate will have a strong background in RF principles, hardware testing, and system-level design, along with the capability to manage projects and mentor junior engineers. Key Responsibilities: Design, develop, and analyze RF systems from concept through to production. Perform system-level analysis including link budgets, acquisition, and tracking especially in applications like GPS satellite systems. Use simulation tools to model and optimize RF system performance. Conduct testing using RF test equipment such as signal generators, oscilloscopes, and spectrum analyzers. Lead and support hardware qualification processes, including environmental testing. Ensure adherence to hardware lifecycle quality processes. Collaborate with cross-functional teams across hardware, software, and testing domains. Mentor junior engineers and assist in technical project management and execution. Required Skills & Qualifications: Strong foundation in RF design principles and system architecture. Hands-on experience with RF simulation tools and measurement equipment. Knowledge of GPS systems including acquisition and tracking techniques. Familiarity with environmental and qualification testing for hardware components. Understanding of hardware lifecycle and quality standards. Proven ability to mentor and guide junior team members. Strong analytical, documentation, and communication skills. Qualification : B.E / B.Tech in Electronics & Communication (ECE), Electrical & Electronics (EEE), or Instrumentation

Job Title: Associate ML Ops Location: Bangalore Department: Data Science Employment Type: Full-time Experience: 1 2 years Job Overview We are seeking a motivated and detail-oriented Associate ML Ops to join our Data Science team. In this role, you will be responsible for supporting the deployment, monitoring, and scaling of machine learning models in production environments. You ll collaborate closely with data scientists and engineers to build robust MLOps pipelines and ensure model reliability, scalability, and performance. If you are passionate about bringing machine learning models to life and have hands-on experience in productionizing ML systems, we d love to hear from you. Key Responsibilities Deploy and maintain machine learning models in production environments using best-in-class tools like Databricks and MLflow. Collaborate with data scientists to translate experimental models into scalable, production-ready systems. Monitor model performance, accuracy, and overall health through automated tools and custom strategies. Build and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Write efficient and optimized SQL and NoSQL queries for data extraction and transformation. Apply software engineering best practices, including version control, testing, and documentation, to MLOps workflows. Work with Python libraries like Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Troubleshoot issues related to model deployment, API performance, or data integration pipelines. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 1 2 years of hands-on experience in solving analytical or machine learning problems in production settings. Must-Have Technical Skills Hands-on experience with Databricks and MLflow Proven expertise in deploying ML models in real-world applications Strong understanding of data structures, algorithms, OOP, and software engineering principles Experience building and maintaining REST APIs using Python Proficiency in SQL and NoSQL Excellent Python programming and debugging skills Familiarity with core Python libraries used in ML and data processing: Pandas, scikit-learn, PySpark, SQLAlchemy, etc. Nice-to-Have Skills Exposure to Kafka for streaming and batch data processing Familiarity with Git and CI/CD pipelines Experience with Python multiprocessing or worker/queue systems Understanding of event-driven or asynchronous programming models This is an exciting opportunity to work at the intersection of data science and engineering. You ll play a key role in productionizing cutting-edge models and ensuring they deliver real business impact. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Job Title: Robotics Solution Engineer Location: Bengaluru Key Focus Areas: The ideal candidate will have experience and expertise in 40-60% of the following domains: Task Development: Breaking down complex robotic tasks (e.g., pick, orient, place) and designing efficient workflows. Simulation and Validation: Using advanced physics-based simulation tools to model and validate robotic systems and interactions. System Integration: Seamless integration of hardware, software, and sensors tailored to customer environments. Customer-Centric Solutions: Customizing robotic solutions to fit specific customer requirements and constraints. Foundational R&D and ML Development: Supporting research and machine learning algorithm development to enhance robotic perception, autonomy, and decision-making. Roles and Responsibilities: Physics-Based Simulation Development: Develop comprehensive physics-based models for robots, environments, and their interactions. Create and validate dynamic models involving rigid body dynamics, contact physics, material properties, and compliance, especially for multi-arm robotic systems. Build and maintain digital twins of physical robots and real-world environments. Algorithm Development & Implementation: Design, implement, and validate control and motion planning algorithms for multi-arm robots, focusing on manipulation and grasping. Optimize kinematics, dynamics, and force-based control strategies for real-time robotic applications. Support learning-based algorithm implementation for real-time perception and manipulation, including simulation-based testing and validation. Machine Learning Applications: Apply machine learning techniques to robotic perception and decision-making. Implement learning-based algorithms for perception and manipulation tasks. Testing, Validation & Optimization: Develop protocols to validate simulation accuracy by bridging virtual and real-world performance. Create automated test sequences and metrics for robust validation across various scenarios. Analyze simulation results to enhance system performance, safety, and reliability, suggesting design improvements. Collaboration & Cross-Functional Support: Work closely with controls engineers to validate and tune control systems in simulation. Collaborate with algorithm, software, and hardware teams to refine systems and resolve issues. Provide insights from simulation analyses to guide product improvements. Documentation & Reporting: Document simulation approaches, assumptions, and validation outcomes clearly. Prepare detailed reports on system performance, testing results, and optimization opportunities. Skills and Experience: Core Expertise: Advanced physics-based modeling and numerical simulation techniques. Deep understanding of robot kinematics, dynamics, and control theory. Experience with simulation validation and verification methodologies. Sensor modeling for cameras, force/torque sensors, etc. Motion planning algorithm knowledge. Familiarity with machine learning frameworks (PyTorch, TensorFlow) and real-time control implementation. Software & Tools: Experience with physics simulation platforms like NVIDIA Isaac Sim/Omniverse, CoppeliaSim, Mujoco, PyBullet, PhysX, Gazebo, or equivalents. Proficient in Python and C++ for scripting and automation tasks. Comfortable integrating CAD software and managing version control with Git. Engineering & Analysis: Skills in system dynamics modeling and error analysis. Developing test plans and performing root cause analysis. Conducting feasibility studies and model validation. Required Qualifications: Bachelor s or Master s degree in Robotics, Mechanical Engineering, or related fields. Minimum 3 years of professional experience in robotics engineering, with a focus on simulation and modeling. Strong foundation in robot kinematics, dynamics, and control systems. Proficient in Python and C++ programming. Experience with physics engines (PhysX, Bullet, PyBullet) and validating simulation results with real-world data. Preferred Qualifications: Master s or PhD in Robotics, Computer Science, or a related discipline. Hands-on experience with NVIDIA Isaac Sim/Omniverse or similar simulation platforms. Background in computer graphics, sensor modeling, and digital twin technologies. Qualification : Bachelors or Masters degree in Robotics, Mechanical Engineering, or related fields.

Role: Senior Analyst Machine Learning Performance & Testing Location: Bengaluru, Karnataka, India Experience: 3 5 Years Employment Type: Permanent, Full-Time About the Role We are seeking a skilled and detail-oriented Senior Analyst with strong experience in ML model performance testing, load testing, and end-to-end (E2E) automation. This role is focused on ensuring scalable, low-latency deployment of production-grade machine learning models. The ideal candidate will be proficient in evaluating model performance under varied workloads, building robust test frameworks, and enhancing system monitoring. Key Responsibilities Conduct load testing and performance benchmarking for machine learning models under varying requests per second (RPS) scenarios. Develop and automate end-to-end test cases to validate model readiness and support smooth rollouts. Monitor and improve model scalability, response time, and error rates across production environments. Collaborate with ML engineers, backend developers, and QA test teams to ensure seamless integration and testing workflows. Identify and address bottlenecks in model inference, helping improve performance for high-volume, low-latency applications. Set up alerting and observability pipelines for model health using industry-standard tools. Required Skills & Tools Performance Testing & Monitoring: ML Load Testing, Job Monitoring, Model Scalability Evaluation Platforms & Tools: Databricks, MLflow, Seldon, Kubeflow, Tecton, Jenkins Cloud Services: Experience with AWS and deploying/testing models in cloud environments Programming Languages: Proficiency in at least one of the following Python, Java, Scala Experience: Working with production-level ML models, especially involving high data volumes and real-time inference Strong communication skills and ability to work in cross-functional teams Preferred Qualifications Hands-on experience with CI/CD pipelines for ML systems Knowledge of A/B testing and canary deployments for ML models Experience building testing frameworks for ML infrastructure at scale Understanding of monitoring and alerting best practices in production ML systems Be at the forefront of ML operations and model performance optimization Collaborate with industry-leading engineers and contribute to cutting-edge AI deployments Gain deep exposure to real-time data systems, cloud platforms, and enterprise-scale ML testing Competitive compensation and an innovative, fast-paced work environment

Backend Engineer - RAG & ML Specialization Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a cutting-edge generative AI startup based in Bengaluru, India, on a mission to make AI accessible and impactful for Bharat. We develop high-performance, cost-effective AI agents tailored to the Indian market, empowering enterprises to unlock new opportunities and create meaningful customer connections. Join us as we reshape AI for India and beyond. Role Overview As a Backend Engineer specializing in RAG (Retrieval-Augmented Generation) systems and Machine Learning (ML) applications, you'll be building scalable backend systems that power AI-driven services. Your work will be critical in developing high-performance platforms for voice and generative AI applications, ensuring secure, scalable, and seamless AI model deployments. Key Responsibilities Backend Development: Design, develop, and maintain scalable, efficient backend applications and RESTful APIs using Python and FastAPI. RAG System Implementation: Build and optimize Retrieval-Augmented Generation (RAG) systems for AI applications, focusing on enhancing AI-driven search and retrieval capabilities. Data Pipeline Management: Develop and manage data pipelines and workflows for integrating AI and ML models into production systems. Code Quality: Ensure adherence to coding best practices, including writing modular code, implementing unit tests, and conducting code reviews. Cross-functional Collaboration: Work closely with AI/ML engineers, data scientists, and other teams to integrate machine learning models into backend systems. Database Optimization: Optimize database queries and efficiently manage both structured and unstructured data. CI/CD Practices: Continuously integrate and deploy code, using version control systems like Git and CI/CD pipelines. System Architecture: Contribute to architectural discussions and improvements, focusing on scalability and performance optimization. Must-Have Skills & Qualifications Educational Background: Bachelor's degree in Computer Science, Engineering, or a related technical field. Programming Skills: Strong proficiency in Python, with a solid understanding of programming fundamentals. Web Frameworks: Experience building backend services using FastAPI, Flask, or Django. Database Knowledge: Familiarity with SQL operations and NoSQL databases for efficient data management. AI & ML Exposure: Hands-on experience with Machine Learning and Deep Learning techniques, and understanding of AI model deployment in production environments. RAG Systems Experience: Prior exposure to Retrieval-Augmented Generation (RAG) architectures, with experience building AI-driven search systems. Version Control: Proficiency with Git and understanding of version control workflows. Problem Solving: Strong analytical and debugging skills to address complex technical challenges. Soft Skills: Excellent communication, collaboration, and problem-solving abilities. Good to Have (Preferred Experience) Backend Projects: Demonstrated experience working on backend applications using Python frameworks (FastAPI, Flask, Django) through academic or personal projects. Cloud Knowledge: Basic understanding of cloud platforms and services such as AWS, GCP, or Azure. DevOps & Containers: Exposure to Linux/Unix environments and containerization concepts (Docker, Kubernetes). CI/CD: Experience setting up CI/CD pipelines for automated testing and deployment. Open Source Contributions: Contributions to open-source projects or a strong GitHub profile showcasing backend development expertise. Impactful Work: Work on groundbreaking generative AI applications that are transforming the future of technology in India. Collaborative Environment: Join a high-performing team of AI experts and engineers, driving innovation and delivering real-world solutions. Growth Opportunities: Be a key player in a fast-growing AI startup, with the opportunity to grow alongside the company. Cutting-edge Technologies: Leverage the latest in AI, Machine Learning, and Cloud Technologies to build state-of-the-art systems. Qualification : Bachelor's degree in Computer Science, Engineering, or a related technical field.

Data Scientist - I | Meesho Careers Location: Bangalore, Karnataka | Department: Tech Join Meesho as a Data Scientist and Shape the Future of E-commerce At Meesho, our Data Scientists work on high-impact projects such as fraud detection, inventory optimization, and platform vernacularization, building intelligent systems that enhance the experience of millions of users across thousands of product categories. What You ll Do Design and develop advanced data models and run experiments to derive insights from complex datasets Enhance product usability and identify new growth opportunities through data Analyze reseller behavior to recommend relevant products and increase engagement Design and optimize discount programs to boost reseller sales Identify end-customer preferences to help resellers improve revenue Use analytics to identify supply chain bottlenecks and help suppliers meet SLA requirements Forecast seasonal demand and contribute to strategic planning by modeling key metrics Mentor junior data scientists and help foster a collaborative learning environment Bachelor's or Master s degree in Computer Science, Data Science, or related fields 1 2 years of professional experience as a Data Scientist in a fast-paced, preferably B2C environment Hands-on experience with machine learning, neural networks, and related techniques Proficiency in tools like SQL, Python, R Strong statistical foundation, with expertise in hypothesis testing and model validation Proven ability to conduct and analyze A/B testing Experience working closely with product and tech teams Bonus Points If You Have: Experience in personalization or similar ML problem spaces Familiarity with Big Data technologies such as Apache Spark, Hadoop, or Redshift About Meesho Meesho is India's top-rated e-commerce platform on Glassdoor, known for empowering millions of entrepreneurs across the country. We provide sellers with zero-commission benefits and the lowest shipping costs, serving every serviceable pincode in India. With over 1.75 million registered sellers, Meesho is helping small businesses grow using a unique business model and world-class tech infrastructure. From first-time internet users to seasoned entrepreneurs, our inclusive platform caters to a diverse customer base across India. Our Mission Democratizing Internet Commerce for Everyone Meesho (short for Meri Shop) is dedicated to enabling 100 million small businesses to succeed online, offering them an affordable, reliable, and easy-to-use platform that mirrors local market preferences. Our Culture and Total Rewards We cultivate a performance-driven, people-first culture that values learning, creativity, and excellence. Our "Mantras" guide our daily decisions, from hiring to growth discussions. Meesho Total Rewards includes: Market-leading compensation, including equity-based benefits Holistic wellness through our MeeCare Program: medical insurance, telehealth, wellness events, gym discounts, and more Work-life balance support: generous leave policies, parental benefits, and retirement plans Learning & development assistance and career mobility programs Fun workplace culture with events, personalized gifts, and team engagement activities Join Meesho to work on meaningful data problems, impact millions, and grow your career with a supportive and innovative team. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, or related fields

Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products. As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics. A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting. Preprocess and analyze large datasets to extract meaningful features and actionable insights. Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics. Optimize models for maximum performance, scalability, and accuracy in production environments. Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI. Continuously monitor and retrain models based on performance metrics and potential data drift. Stay updated with the latest ML research and technologies and apply them to enhance product capabilities. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Practical experience working with both SQL and NoSQL databases. Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques. Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines. Preferred Qualifications: Prior experience with deep learning, natural language processing (NLP), or computer vision. Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.). Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC). Practical experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus. What We Offer: Competitive salary and performance-based incentives to reward your contributions. Comprehensive health insurance and valuable wellness benefits to support your well-being. Dedicated learning and development programs for continuous professional growth. Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale. A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity. Flexible working hours and a hybrid work model to promote a healthy work-life balance.

Android Developer - I Location: Bangalore, Karnataka | Tech About the Team When 5% of Indian households shop with us, it s important to build resilient systems to manage millions of orders every day. We ve done this with zero downtime! Sounds impossible? Well, that s the kind of Engineering muscle that has helped Meesho become the e-commerce giant that it is today. We value speed over perfection, and see failures as opportunities to become better. We ve taken steps to inculcate a strong Founder s Mindset across our engineering teams, making us grow and move fast. We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. Software Development Engineer - I Android, you will be part of self-starters who thrive on teamwork and constructive feedback. We know how to party as hard as we work! If we aren t building unparalleled tech solutions, you can find us debating the plot points of our favorite books and games or even gossiping over chai. So, if a day filled with building impactful solutions with a fun team sounds appealing to you, join us. About the Role We are seeking problem solvers to join our team of Android Developers. We want candidates with experience in programming, user interfaces, and/or tools supporting applications on Android using the Android SDK. As SDE I - Android, you will gain experience in building maintainable and testable code bases, including API design and unit testing techniques. If you are interested in joining a world-class team of passionate engineers who work hard and play hard, we look forward to hearing from you. What you will do: Perform code reviews, write unit tests, and contribute to architectural planning and refactoring. Work on bug-fixing and improving application performance. Design and build new features and improvements for the Android platform. Mentor interns and support team members. Collaborate closely with QA, Engineers, Product Managers, and Designers across the company. Collaborate with cross-functional teams to define, design, and ship new features. What you will need: BE/BTech/BCA/BSc in any discipline. 1+ years experience in a relevant role. Experience having worked on two or more Android apps in the past. Familiarity with Java, Kotlin, Android SDK, and the ecosystem. Familiarity with Material Design guidelines, common mobile UX patterns, and anti-patterns. Experience with common Android libraries like Retrofit, OkHttp, Picasso, RxJava, Gson Arch-components etc. Experience with different programming paradigms, esp. functional and reactive programming. Familiarity with consuming REST APIs, and what makes them RESTful. Familiarity with Git and continuous integration. Proficiency at object-oriented programming and multi-threading. Understanding of advanced Android concepts like Custom Views, Accessibility Services, background processing APIs. Understanding of different architectural patterns (esp. MVVM) and their testability. Proficiency at debugging, including identifying memory leaks, performance bottlenecks and using tools like ADB, Proguard, etc. Ability to tell good design from bad design. Ability to write clean, maintainable code which others can work on. Apps published to Play Store are a plus. About Us Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit. We're not just a platform; we're your partner in turning dreams into realities. Curious about life at Meesho? Our people have a lot to say and they've made us the top-rated e-commerce workplace on Glassdoor. Our Mission Democratising internet commerce for everyone- Meesho (Meri shop) started with a single idea in mind -to be an e-commerce destination for the next billion Indian consumers and enable 100 million small businesses to succeed online. We provide sellers with a range of industry-first benefits such as zero commission and the lowest shipping cost. Over 1.75 million sellers are registered on Meesho, growing their business by tapping the company s massive customer base, state-of-the-art tech infrastructure, pan-India logistics at the lowest cost through third-party logistics providers in an 'Everyday Lowest Cost' channel for sellers. Affordable, relatable merchandise mirroring local markets has helped us make inroads with first-time internet users in the country. We cater to an underserved and unique customer base and cover every serviceable pincode in the country. Our unique business model and continuous innovation has enabled us to become the first Indian horizontal E-commerce company. Culture and Total Rewards Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence. We prioritize a people-centric culture, dedicated to hiring and developing exceptional talent. Total rewards at Meesho comprises of a comprehensive set of elements - monetary, non-monetary, tangible, and intangible in nature. Our 11 guiding principles, or "Mantras," are the backbone of how we operate - influencing everything from recognition and evaluation to growth discussions. Daily rituals & processes like Reflections , Listen or Die , Internal Mobility Program, Talent Reviews, Continuous Performance Management - all embody these principles. We provide market leading compensation - both cash and equity-based - specific to job roles, individual experience and skill along with our employee centric benefits and work environment. We focus extensively on holistic wellness - through our MeeCare Program - encompassing benefits and policies across physical, mental, financial, and social wellness aspects. This includes extensive medical insurance benefits for employees and their families, wellness initiatives like telehealth, wellness events, and gym & recreational discounts etc. To support work-life balance, we provide generous leave policies, parental support benefits, retirement benefits, and learning and development assistance. Through gratitude...

Chief Analytics Office (CAO) - Data Scientist Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 2-4 years Company: IBM Chief Analytics Office (CAO) Introduction: At IBM, we believe in the power of AI and data science to transform enterprises. In the Chief Analytics Office (CAO), we work on the front lines of AI-driven enterprise transformations. By joining our team, you will collaborate with innovative leaders and contribute to solving complex problems using the latest AI and machine learning technologies. Here, your skills will not only be valued but nurtured in a dynamic, collaborative environment designed for growth and impact. Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will play a critical role in driving AI and data science initiatives across the enterprise. You will use your technical expertise to develop and deploy machine learning models and data analytics solutions that align with business objectives. This role is focused on translating data insights into actionable recommendations and leading data science projects from concept to execution. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Assist in the implementation and optimization of AI-driven strategies aligned with business stakeholder requirements. Refine data-driven methodologies for enterprise transformation projects. Data Science and AI: Design, implement, and optimize machine learning solutions and statistical models. Perform end-to-end data analysis, from problem formulation through to deployment. Ensure the scalability of AI solutions by leveraging cloud platforms. Apply IBM s data science standards and reusable assets to ensure quality and consistency. Project Support: Lead and contribute across various stages of AI and data science projects, from data exploration to model development and deployment. Monitor project timelines and assist in resolving any technical challenges. Design and implement measurement frameworks to assess the business impact of AI solutions using KPIs. Collaboration: Work closely with stakeholders to ensure alignment with strategic goals. Collaborate with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Provide technical expertise to cross-functional teams, fostering a collaborative environment. Required Education and Experience: Education: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. An advanced degree is strongly preferred. Experience: 2-4 years of experience in data science, AI, or analytics, with a focus on implementing data-driven solutions. Experience with data cleaning, data analysis, A/B testing, and data visualization. Hands-on experience with AI technologies through coursework or projects. Required Technical Skills: Programming and Data Analysis: Proficiency in SQL and Python for data analysis and developing machine learning models. Familiarity with machine learning algorithms such as linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch). Cloud Platforms & Data Processing: Experience with cloud-based platforms (e.g., AWS, Azure, IBM Cloud) and data processing frameworks. Specialized Knowledge: Knowledge of large language models (LLMs) and familiarity with IBM s WatsonX product suite. Familiarity with object-oriented programming (OOP) principles. Analytical and Soft Skills: Problem-Solving: Strong analytical skills with the ability to solve complex problems and derive actionable insights from datasets. Communication: Excellent communication skills to explain technical concepts clearly to stakeholders at various levels. Project Management: Ability to handle multiple initiatives simultaneously, prioritize effectively, and meet deadlines in a fast-paced environment. Preferred Experience: Advanced Degree: A Master s degree in a related field is strongly preferred. Impact: Work on innovative projects that directly impact enterprise transformation using the latest AI and data science techniques. Collaboration: Be part of a collaborative environment with a global team of AI experts. Growth: Develop professionally with continuous learning opportunities in the ever-evolving AI field. Work-Life Balance: IBM offers a dynamic work environment with flexibility and career growth opportunities. Apply now and join IBM's Chief Analytics Office as a Data Scientist and be part of the next generation of data-driven innovations. Qualification : A Masters degree in a related field is strongly preferred.

Job Title: Product Manager Location: Bangalore, India Mode of Work: Work from Office Industry: Information Technology Employment Type: Full-time Experience: 6-15 years of product management experience, preferably in the utilities sector Seniority Level: Senior Level Qualification: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field Job Function: Engineering Job Summary: We are looking for a highly skilled Product Manager to join our team. The Product Manager (PM) will play a critical role in driving the development, implementation, and optimization of applications. You will act as the bridge between technical teams and business stakeholders to ensure the product meets business goals, user needs, and the desired product-market fit. Key Responsibilities: Define the Product Strategy: Define and execute the product vision and strategy for applications in the utilities sector. Ensure product strategy aligns with business objectives and customer needs. Foster Strong Cross-Functional Collaboration: Work closely with business stakeholders, developers, and UX/UI designers to gather requirements and prioritize features. Collaborate with all teams to ensure seamless product development and timely delivery. Drive Product Innovation: Conduct market research and competitive analysis to identify trends, customer needs, and opportunities for innovation. Stay updated with emerging technologies and leverage them to enhance the product. Deliver High-Quality Products on Time: Create and maintain a product roadmap, ensuring alignment with business objectives and timely delivery of features. Ensure end-to-end release management and quality assurance before product launches. Enhance User Experience and Drive Adoption: Advocate for end-users by gathering feedback, conducting usability tests, and improving application features based on insights. Provide user training, support, and documentation to ensure effective usage of applications. Performance Metrics and Monitoring: Define and analyze KPIs to measure the success and adoption of applications. Continuously monitor application performance and user feedback to make informed decisions. Platform and Application Development Support: Assist in the design, development, and deployment of applications. Collaborate with technical teams to ensure scalability, security, and integration with existing systems. Integration & Automation: Assess current systems and workflows to identify opportunities for automation and integration to improve processes and product functionality. Documentation and Reporting: Create and maintain comprehensive documentation, including user guides, technical specifications, and release notes. Provide regular reports and updates to stakeholders regarding product progress, performance, and key metrics. Skills and Requirements: Functional Skills: Market Knowledge: Deep understanding of the utilities industry, including challenges, regulations, and emerging technologies. Technical Skills: Familiarity with low-code/no-code platforms (e.g., Mendix, OutSystems, Microsoft PowerApps) and integration with existing systems. Analytical Skills: Strong ability to interpret data, drive decision-making, and assess product performance. Communication: Excellent verbal and written communication skills for interacting with both technical and non-technical stakeholders. Agility: Experience with Agile methodologies, focusing on iterative development and delivery. Problem-Solving: Strong analytical and problem-solving abilities to troubleshoot issues and improve applications. Detail-Oriented: Ability to manage multiple projects while maintaining attention to detail in documentation and application functionality. Technical/Functional Competencies: Product Strategy: Define and execute the product vision and strategy for applications that meet customer needs in the utilities sector. Stakeholder Collaboration: Work with stakeholders to gather requirements and prioritize features. Platform Management: Evaluate and select platforms and technologies that meet business goals and ensure scalability and security. User Experience: Gather feedback, conduct usability tests, and iterate on features to improve overall user satisfaction. Roadmap Development: Create and manage a product roadmap to meet business objectives. Market Analysis: Conduct competitive analysis to understand trends and customer needs. Performance Monitoring: Analyze KPIs to measure product success and adoption. Desired Skills: Product Development: Assist with design, development, and deployment of applications to meet business needs. Cross-Functional Collaboration: Ensure smooth integration and functionality by collaborating with developers, designers, and stakeholders. Process Improvement: Identify opportunities to improve processes related to product development and management. User Engagement: Work closely with stakeholders to ensure the product meets user needs and expectations. Prototyping: Develop prototypes and MVPs (Minimum Viable Products) for early-stage testing and user feedback. Network with Industry Peers: Maintain a network of peers within the utilities sector to stay updated on trends and best practices. Be part of an innovative company focused on providing impactful solutions in the utilities sector. Work with cutting-edge technology to develop user-friendly applications. Career growth and opportunities for advancement in a dynamic work environment. Competitive compensation package. If you're passionate about leading innovative product development in the utilities sector, we want to hear from you! Apply now and help shape the future of application management. Qualification : Bachelor's or Master's degree in Computer Science, Information Technology, or a related field

Job Title: Data Scientist Location: Bengaluru Experience: 4+ Years About Linarc: Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered. Built for general contractors, construction managers, and trade partners, Linarc offers a next-generation platform that delivers unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability, empowering teams to deliver projects faster, smarter, and with greater control. Join us in shaping the future of construction tech. If you thrive in a dynamic, fast-growing environment and want to make a significant impact, Linarc is the place for you. This is a full-time position based in Bengaluru. Roles and Responsibilities: Data Analysis & Modeling: Develop and implement machine learning models to address complex business problems. Build predictive models and algorithms to forecast customer behavior, product usage, and business outcomes. Conduct statistical analysis and hypothesis testing to uncover key insights and trends. Data Engineering & Processing: Clean, preprocess, and transform large-scale datasets from multiple sources. Design and optimize data pipelines for both real-time and batch processing. Business Insights & Reporting: Collaborate with business teams to define key performance indicators (KPIs). Develop dashboards and reports to effectively communicate findings and business performance. Present actionable insights and recommendations to stakeholders and leadership teams. Product Improvement: Partner with product managers to integrate data-driven insights into product features. Monitor model performance and continuously improve accuracy and scalability. Run A/B tests to evaluate the impact of product changes and optimize user experience. Research & Development: Stay updated with the latest developments in machine learning, artificial intelligence, and data science. Explore and implement new techniques and tools to drive innovative solutions and improve outcomes. Qualifications: Minimum Experience: 3 years of professional experience in Data Analytics, Data Science, AI, or Machine Learning. Technical Expertise: Deep analytical expertise in applying statistical solutions to business problems. Experience with exploratory data analysis of large datasets using tools like SQL, Hive, Spark, or similar. Proficiency in machine learning and deep learning tools such as Scikit-learn, TensorFlow, PyTorch, and familiarity with techniques like Neural Networks, Gradient Boosting, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, Clustering, etc. Experience working with visualization tools such as Tableau and Power BI. Business & Innovation: Demonstrated ability to innovate solutions and solve business problems using data science techniques. Desirable Additional Experience: 4+ years of experience in data science or machine learning in a product-focused environment. Experience working with relational or document databases. Proficiency in C, Python, PyTorch, Java, JavaScript, Node.js, React.js, or Vue.js. Strong knowledge of hypothesis testing and regression analysis. Experience in a SaaS product environment. Educational Qualifications: Bachelor s/Master s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

Job Description You are a strategic thinker passionate about driving solutions in Analytics Solutions. You have found the right team. As an Analytics Solutions Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. You will be responsible for the design, implementation and execution of end-to-end processes supporting U.S. Regulatory Reporting including Consolidated, Capital, Standalone and CCAR/DFAST reporting, regulatory reporting training and exam management. Additionally, FRRA drives broader strategic initiatives across external reporting including accountability, error and issue management, manual adjustments, variance analysis, quality assurance and the target U.S. Regulatory Reporting platform. The FRRA Innovation team sits within FRRA and is responsible for leading the development and implementation of Business Intelligence, Data Analytics and Intelligent automation solutions, identifying and delivering process automation and technology innovation, supporting the reporting production close, and helping to define and design multi-year business infrastructure strategy. Job Responsibilities Implement process automation solutions across the business using Business Intelligence tools. Drive process discovery through partnerships with key stakeholders in the business. Follow established project lifecycle from end to end to deliver timely, efficient, and fit-for-purpose solutions. Engage partners such as FRRA process owners, Center of Excellence teams, and Control partners through established forums. Assist with various aspects of project management including development of project plans, task management, design, testing scenarios and analysis, implementation, and procedural / operating model documentation. Collaborate with system / data owners and business project teams to improve overall data quality and implement tactical solutions to automate repetitive, manual data clean-up and aggregation work. Develop expertise in existing and future strategic data source systems to streamline and improve information content, transparency, and delivery. Communicate summary of analysis and findings thoroughly and succinctly (summary of facts, data sources, analyses performed, conclusions, and recommendations) to various stakeholders, including executive leadership and participate/lead Innovation forums. Stay up-to-date with industry trends and best practices in process automation, analytics, and innovation. Required Qualifications, Capabilities, and Skills Minimum 3 years experience in design and delivery of analytics, reporting and process automation solutions. Advanced data transformation skills using Alteryx and/or Python. Experience with data visualization tools (e.g., Tableau, Power BI) and analytics platforms. Strong project management skills with the ability to manage multiple projects simultaneously. Good analytical and presentation skills. Willingness to learn and adopt new cutting edge technologies, toolsets and techniques. Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams. Preferred Qualifications, Capabilities, and Skills Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field. Finance experience a plus. Certifications in process automation or data analytics. Knowledge of SQL and/or RPA tools like UIPath. Experience with process review, discovery and reengineering. Understanding of workflow automation tools such as Pega or ServiceNow. Experience in a similar role within a fast-paced, innovative environment. About Us JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. Qualification : Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field. Finance experience a plus.

What Makes Us a Great Place to Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor, and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With Vector is Bain s integrated digital and analytics capability, bringing together Enterprise Technology and AI, Insights & Solutions (AIS) to deliver cutting-edge innovation. AIS, formed through the merger of Bain's Advanced Analytics and Innovation & Design teams, is a diverse group of experts in analytics, engineering, product management, and design. Together, we create human-centric solutions that leverage the power of data and artificial intelligence to drive competitive advantage for our clients. As part of AIS, the India-based Center of Excellence (COE) specializes in delivering Generative AI (Gen AI) and advanced engineering solutions for our clients globally. The COE will also lead the charge on building solution accelerators for our clients. What You ll Do As a Manager, AIS Software Engineering, you will lead the development and application of technical solutions to address complex problems in various industries. You will guide a diverse engineering team through the entire engineering lifecycle while collaborating with remote and distributed teams, including both technical and consulting teams across the globe. Your responsibilities will include designing, developing, optimizing, and deploying cutting-edge software engineering solutions and infrastructure at the production scale required by the world s largest companies. Collaboration: Work closely with colleagues in the AIS COE (e.g., data scientists, ML engineers, software engineers, platform engineers) to build software solutions that solve clients business problems. Technical Leadership: Serve as the overall technical leader, providing deep expertise in software engineering, distributed systems, AI, and application architecture design. Lead the development and delivery of end-to-end solutions for client cases. Development Lifecycle: Lead key parts of the software development life cycle, including architecture design, writing clean code, conducting code reviews, writing documentation, and identifying issues and resolutions. Framework Development: Collaborate on (or lead) the development of re-usable common frameworks, models, and components to address common software engineering problems across industries and business functions. Best Practices & Innovation: Drive best practices in software engineering and share learnings with team members in AIS. Promote industry-leading innovations to create significant client impact. Team Management: Contribute to creating a great working environment that attracts talented engineers. Act as a PD Advisor as needed and support recruiting and onboarding new team members. Travel Requirements: Minimum travel, based on project needs and training opportunities. About You Education & Experience: Bachelors/Master s degree in Computer Science, Engineering, or a related technical field. 8+ years of hands-on experience in web development, programming languages, version control, software design patterns, infrastructure, deployment, integration, and unit testing. 3+ years of experience managing software engineers. A proven track record of leading a team and collaborating on strategic initiatives, with experience in shipping production applications and software analytics products. Technical Expertise: Expert knowledge (5+ years) of Python. Deep experience with server-side frameworks and technologies such as FastAPI, Node.js, Flask. Familiarity with cloud platforms like AWS, Azure, or GCP. Strong understanding of software architecture, DB design, scalability, and SQL, with experience in RDBMS (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra, Elasticsearch). Experience with client-side technologies such as React, Vue.js, HTML, and CSS. Familiarity with DevSecOps principles, CI/CD tools, MLOps, LLMOps, and infrastructure as code (Jenkins, Docker, Kubernetes, Terraform). Knowledge of software security, privacy regulations, and cybersecurity. Soft Skills: Strong interpersonal and communication skills, including the ability to explain technical concepts to colleagues and clients from other disciplines. Curiosity, proactivity, and critical thinking. Ability to collaborate effectively with people at all levels and with multi-office/region teams. Ability to work independently, manage multiple priorities, and thrive in a fast-paced and ambiguous environment. About Us Bain & Company is a global consultancy that helps the world s most ambitious change makers define the future. Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from EcoVadis, the leading platform for environmental, social, and ethical performa...

Intuit is a global leader in financial technology, dedicated to helping individuals and businesses thrive. Our suite of products, including TurboTax, Credit Karma, QuickBooks, and Mailchimp, serves approximately 100 million customers worldwide. At Intuit, we believe in providing everyone with the tools and resources they need to achieve financial success. We are constantly innovating to make financial empowerment a reality for all. Job Overview Join the Intuit Data Platform (IDP) team as a Staff Engineer and help us transform the way we handle big data! The IDP team is responsible for the Intuit Analytics Platform, which powers real-time data ingestion, cataloging, analytics, and machine learning across the entire organization. As Intuit s customer base grows, so does the volume of data we process. Our engineering excellence ensures that we can scale and leverage this data to drive machine learning and product innovations. We re in the process of building the next-generation real-time and batch ingestion engine, capable of indexing, cataloging, and organizing data and metadata. We are passionate about using open-source technologies to solve challenges and contributing back to the community. If you're excited about building a platform that will directly impact data scientists and analysts and have a desire to shape the future of data at Intuit, then come join us! Key Responsibilities Architect & Design: Build fault-tolerant and scalable big-data platforms using open-source technologies to handle massive datasets. Data Solutions: Create architecture solutions that address complex use cases like data normalization, lineage, governance, ontology, and discoverability. Cross-Team Collaboration: Work with analysts and data scientists to understand data requirements for building operational propensity models and gaining deep customer insights. Hands-On Coding: Lead development efforts within the Hadoop ecosystem using technologies such as Java MapReduce, Spark, Scala, HBase, and Hive to build and optimize data pipelines for both real-time and batch applications. Database Management: Work with NoSQL, SQL, and in-memory databases to design high-performance data systems. Code Reviews: Ensure code quality, consistency, and adherence to best practices through regular code reviews. Architectural Alignment: Ensure alignment between enterprise architecture and business requirements. Prove Feasibility: Conduct proof-of-concept (POC) experiments for new technologies or approaches and drive them to production. Collaboration with Data Cataloging Team: Work closely with data catalog teams and architects to index and catalog all data sources at Intuit. Agile Leadership: Lead fast-paced development teams using agile methodologies and promote best practices in software development, testing, and incident response. Design & Model: Build dimension models suited for customer business use cases and ensure seamless integration of business and technical requirements. Qualifications Experience: 12+ years of relevant experience, with at least 5+ years specializing in the big data domain. Big Data Architecture: Proven experience in architecting end-to-end ecosystems for big data and analytics platforms. Expert Knowledge: Deep expertise in building fault-tolerant, scalable big data solutions, especially using the Hadoop ecosystem (Hive, HBase, Spark, Kafka, MapReduce, etc.). Programming Expertise: Mastery of Java and Scala, with a focus on building high-throughput data services. Machine Learning: Knowledge of machine learning principles and AI applications in big data. Big-Data Technologies: Familiarity with tools such as HDFS, Storm, Zookeeper, Cassandra, Redshift, GraphDB, and others. Understanding both real-time and batch processing in the Hadoop ecosystem. Communication: Strong communication skills, with an ability to explain complex technical topics to both technical and non-technical audiences. Programming Skills: Intermediate experience in Python or R for data processing. Education: BE/BTech/MS in Computer Science or a related field (or equivalent experience). Collaboration: Demonstrated ability to work cross-functionally and lead change through influence and example. At Intuit, you ll be part of a talented, passionate team working on innovative solutions that shape the future of data analytics and machine learning. As a Staff Engineer, you ll have the chance to work with cutting-edge technologies, build scalable systems, and help revolutionize how Intuit leverages data to drive product innovation. If you're looking for a dynamic environment where you can have a meaningful impact, come join us at Intuit! Qualification : BE/BTech/MS in Computer Science (or equivalent)

Company Overview Intuit is a global financial technology platform that drives prosperity for individuals and communities worldwide. Serving approximately 100 million customers through renowned products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we are dedicated to creating innovative solutions that empower everyone to prosper. We are constantly evolving to ensure that we can make this vision a reality for people everywhere. Job Overview At Intuit, we are committed to creating the future of financial technology by empowering people through innovation. The Experience Design team plays a pivotal role in bringing this vision to life. Our designers are deeply involved at every stage of product development from gathering insights and brainstorming ideas to prototyping, experimentation, and launching polished, user-friendly designs. We are innovating with technologies like machine learning and conversational UI to make every interaction seamless and delightful. We are looking for a Senior Design Leader to join the Go To Market (GTM) Technology team. This team is responsible for delivering some of the most critical customer-facing experiences across Intuit s entire ecosystem, including tools for monetization and experimentation. As part of the GTM Tech team, you will lead the design of Monetization experiences that include both pre-purchase and post-purchase customer interactions, impacting the success of Intuit's products. You will be responsible for designing and implementing a Monetization design system and overseeing projects within the Intuit Enterprise Suite. Additionally, you will lead a small team of designers and collaborate with external agencies, ensuring high-quality and impactful design solutions. This is a highly strategic role that offers the opportunity to influence monetization design across Intuit s products and to work at the intersection of marketing technology, personalization, and AI-driven experimentation. Responsibilities Design Leadership & Strategy Lead the design of Monetization experiences, focusing on both pre-purchase and post-purchase customer interactions, as well as sales-driven actions. Develop and lead the Monetization design system and contribute to the design of the Intuit Enterprise Suite. Be a role model in applying user-centered design (UCD) methodologies and design principles to solve customer challenges. Own the inputs for design strategy, design processes, design systems, and information architecture. Cross-Functional Collaboration Lead cross-functional collaboration with product management, product development, and project management teams to ensure timely and high-quality delivery of design solutions. Serve as the voice of design, advocating for design vision and solutions to business, product, and technology stakeholders. Team Leadership & Mentorship Lead and mentor a team of 2-3 full-time designers, helping them grow their design craft and develop key hard and soft skills. Collaborate with third-party design agencies to ensure efficient design production and on-time delivery. Work at Scale & Innovation Lead and execute the design of complex, large-scale projects that involve high-level design systems and reusable component libraries. Drive innovation by applying cutting-edge interactive design, including Generative AI and personalization technologies. Qualifications Experience: 15-18 years of experience in interaction design, product design, service design, or related fields. At least 10 years of experience managing and leading UX/UI designers. Education: Bachelor s or Master s degree in Product Design, Human-Computer Interaction, Interaction Design, or a related field. Alternatively, a Certified Usability Analyst certification is also acceptable. Skills & Expertise: Proven experience in applying user-centered design methodologies such as user-centered analysis, information architecture, task-flow design, and usability testing. Deep knowledge of design principles and the ability to apply them to create intuitive, user-friendly designs. Experience working with design systems and reusable component libraries. Additional Attributes: Highly organized, self-directed, and able to manage multiple, complex projects efficiently. Ability to build positive, collaborative relationships across teams and functions. Strong communicator and presenter with the ability to advocate for design vision and ideas effectively. Experience working with cross-functional teams and external agencies to ensure high-quality and timely delivery of designs. This role offers an exciting opportunity to lead design efforts that directly shape the future of monetization experiences and customer engagement across Intuit s ecosystem. You will work with cutting-edge technologies like Generative AI and personalization to create innovative and impactful solutions for millions of users around the world. If you're a visionary design leader passionate about creating customer-centric, innovative solutions at scale, we d love to hear from you. Join us and be part of a dynamic team that values creativity, collaboration, and leadership. Apply Now and help us shape the future of financial technology! Qualification : Bachelors or Masters degree in Product Design, Human-Computer Interaction, Interaction Design, or a related field.

Company Overview At Intuit, we re on a mission to power prosperity for people and communities around the globe. With products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we serve over 100 million customers worldwide. Our goal is simple ensure everyone has the opportunity to thrive financially. We re constantly innovating, finding new ways to help people manage their finances better, and we need a passionate, skilled Full Stack Engineer to help us revolutionize the future of finance with AI-driven experiences. Job Title: Full Stack Engineer - AI Development At Intuit, our AI team is pushing the boundaries of what's possible in financial technology. We re building cutting-edge solutions that deliver personalized, proactive insights to millions of users. As a Full Stack Engineer on our team, you ll play a pivotal role in creating the infrastructure and applications that bring these AI innovations to life. This is a unique opportunity to work with the latest AI technologies while building impactful web applications for TurboTax, QuickBooks, and beyond. Responsibilities: Develop High-Performance Applications Design, develop, and deploy consumer-facing web applications that integrate seamlessly with our AI models and services. Ensure that applications are scalable, modular, and secure, delivering high-quality experiences to millions of users. Collaborate with Cross-Functional Teams Work closely with data scientists, machine learning engineers, and product managers to transform complex algorithms and data into intuitive, user-friendly interfaces. Contribute to the development of AI platforms and tools for model training, deployment, and monitoring. Backend System Design Build and maintain robust backend systems to support the AI-powered features across Intuit's portfolio. Take ownership of the end-to-end product lifecycle, including resolving defects/bugs and working on post-release patches. Champion Best Practices Promote best practices in software development, including thorough code reviews, unit testing, and documentation. Stay up-to-date with the latest trends in AI, web development, and cloud technologies. UI/UX & Prototypes Design and develop web, software, and mobile applications with a focus on accessibility, internationalization, and user experience. Contribute to the architecture and design of projects to ensure scalability and performance. Qualifications: Educational Background BS/MS in Computer Science or equivalent field. Technical Expertise 5+ years of experience in full-stack software development with a strong focus on JavaScript, HTML, CSS, and backend frameworks such as Node.js, Python/Django, or Java/Spring. Proficiency with modern web technologies and architectures such as React, Angular, Vue.js, and RESTful APIs. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL and NoSQL) and data pipelines. Programming & Frameworks Strong experience with Kotlin/Java and web technologies. 4+ years of experience with APIs (creating and consuming) using REST or GraphQL. Experience with UI frameworks like React, Angular, and JavaScript in a single-page architecture. Experience with unit testing and Test-Driven Development (TDD). Data Management & Systems Familiarity with Postgres, Data Lakes, Kafka, and schema modeling will be a plus. Solid foundation in writing scalable web applications that follow best practices in accessibility, internationalization, and instrumentation. Collaboration & Communication Strong communication skills with the ability to work effectively in a cross-functional team. Ability to contribute to both individual work and team-based projects in an Agile environment. Bonus Points: AI/ML Expertise Experience with machine learning frameworks like TensorFlow or PyTorch and AI/ML model deployment. Contributions to open-source projects related to AI or web development. Experience with data visualization tools and techniques to present AI insights effectively. Join Intuit and become part of a forward-thinking team that is shaping the future of financial technology. You ll have the opportunity to work on innovative AI-driven projects that have the potential to impact millions of people s financial lives. Here, your contributions matter, and you ll be empowered to build scalable, secure, and high-performance systems that drive true change. Qualification : BS/MS in computer science or equivalent

QA Manager - Disaster Recovery Team Description Hungry, Humble, Honest, with Heart. The Opportunity We are seeking a highly skilled and motivated QA Manager to lead our Nutanix Disaster Recovery Team. The successful candidate will be responsible for ensuring the quality and reliability of our disaster recovery solutions built on Nutanix technologies. In this role, you will not only manage a dedicated QA team but also own and drive end-to-end feature qualifications. About the Team At Nutanix, you will be joining the Disaster Recovery and Backup team, a dynamic and collaborative group of over 30 members across more than 50 locations. Our team thrives on innovation and excellence, fostering an environment where everyone can contribute ideas, share expertise, and grow together. You will report to the Senior Manager of the team, who is committed to supporting your growth and success. This role follows a hybrid work model, with an expectation of working from the office at least three days a week. There are no travel requirements for this position, allowing you to focus entirely on your team, projects, and personal development. Your Role Hire, mentor, and manage a high-performing QA team. Encourage learning and skill development within the team. Motivate and lead software engineers to achieve top performance. Continuously refine processes and best practices to enhance team efficiency. Ensure the timely delivery of high-quality software releases. Lead and drive quality efforts for features owned by the team. Conduct requirement and design reviews for new features. Design high-level test approaches and implement detailed test plans. Debug and identify root causes of complex product issues. Continuously improve test case efficiency and testing strategies. Design and maintain scalable automation frameworks. Own the overall health and quality of assigned features. What You Will Bring Bachelor s or Master s degree in Computer Science or a related field. 8-10 years of relevant industry experience. Proven experience as a QA leader, preferably in Storage, Backup, and Disaster Recovery domains. Track record of leading technical QA teams focused on distributed systems. Experience designing complex test plans and automation strategies. Hands-on experience with automation development in Python. Strong debugging and root cause analysis skills. Knowledge of Core Storage, Virtualization, File Systems, Block/Object Storage, Disaster Recovery, and Backup. Familiarity with Linux systems and virtualization platforms such as VMware, Hyper-V, and KVM. Excellent collaboration and communication skills, including working with development, product management, and cross-functional teams. Work Arrangement Hybrid: This role follows a hybrid work model, combining remote flexibility with in-person collaboration. Most roles require being in the office at least 2-3 days per week, although specific team requirements may vary. Your manager will provide additional team-specific guidance. Equal Opportunity Employer Nutanix is an Equal Employment Opportunity and (in the U.S.) an Affirmative Action employer. All qualified applicants are considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status, or any other legally protected category. We hire and promote based solely on qualifications. Nutanix is committed to fostering an inclusive workplace where everyone can do their best work free of discrimination or harassment. Reasonable accommodations will be provided for applicants and employees with disabilities. Qualification : Bachelors or Masters degree in Computer Science or a related field.

Senior Consultant - HCM Cloud About Oracle Global Services Center (GSC): Oracle Global Services Center (GSC) is a rapidly growing cloud consulting team dedicated to helping customers successfully adopt Oracle Cloud Solutions. Our "Optimum Shore" approach combines onshore, near shore, and offshore resources to provide the right expertise at the right cost. We are seeking versatile consultants passionate about delivering excellent client experiences and innovative solutions. Our cloud solutions are transforming businesses, empowering governments, and helping society evolve. Join our team of top-class consultants and help our customers achieve more. About the Role: As a Senior Consultant, you will operate independently, providing quality work products to engagements, with some assistance and mentorship. You will perform complex tasks requiring independent judgment, applying Oracle methodologies, company procedures, and leading practices. You will demonstrate expertise to deliver solutions on complex engagements, potentially acting as the functional team lead. You will collaborate effectively with client management, participate in business development activities, and develop and configure detailed solutions. Responsibilities: Deliver high-quality work products independently. Execute complex tasks requiring independent judgment. Apply Oracle methodology, company procedures, and leading practices. Deliver solutions on complex engagements, demonstrating expertise. Potentially act as functional team lead on projects. Collaborate effectively with client management. Participate in business development activities. Develop and configure detailed solutions for complex projects. Assist in identifying, assessing, and resolving complex technical issues. Interact frequently with clients regarding work efforts and deliverables. Detailed Requirements: 7-12 years of experience with sound domain knowledge in HCM, covering the hire-to-retire cycle. Participation in at least 3 end-to-end HCM Cloud implementations, with experience leading at least 1 project. Functional Requirements: Knowledge of Core HR module and at least one other HCM module (Time and Labor, Absence Management, Payroll, Benefits, Compensation, Recruiting). Experience in client-facing roles, interacting with customers in requirement gathering, design, configuration, testing, and go-live phases. MBA (HR) preferred, along with an engineering degree. Technical Requirements: In-depth understanding of the data model, business process functionality, and data flow in HCM Cloud applications and Oracle EBS/PeopleSoft AU (HRMS). Experienced knowledge of Cloud HCM conversions, integrations (HCM Extracts & BIP), reporting (OTBI & BIP), Fast Formula, and Personalization. Engineering degree or MCA degree or equivalent experience. Proven experience with Fusion technologies, including HDL, HCM Extracts, Fast Formulas, BI Publisher Reports, and Design Studio. Added advantage: Advanced knowledge in OIC, ADF, Java, PaaS, DBCS, etc. Good functional or technical leadership skills, including planning, follow-up, mentorship, work allocation, monitoring, and status updates. Strong written and verbal communication skills, personal drive, flexibility, teamwork, problem-solving, influencing, negotiating, and organizational awareness. Openness to domestic and international travel for short and long durations. Qualification : MBA (HR) preferred, along with an engineering degree.

At Tide, we re building a finance platform to help small businesses save time and money. We offer business accounts and banking services alongside a comprehensive set of administrative solutions, from invoicing to accounting. Launched in 2017, Tide is trusted by over 1 million small businesses worldwide and is available to SMEs in the UK, India, and Germany. Headquartered in London, we have offices in Sofia, Hyderabad, Delhi, Berlin, and Belgrade, with a global team of 2,000+ employees. As we expand into new markets, we re constantly seeking passionate individuals to help us empower small businesses. About the Team The Security Engineering Team at Tide is divided into three core areas: Product Security, Threat Detection & Response, and Identity. Product Security (this role) focuses on embedding security throughout our product lifecycle, from secure design reviews and threat modeling to penetration testing, ensuring security is baked into every stage of development. Threat Detection & Response builds a robust detection and automation platform, proactively defending against emerging threats and making Tide resilient. Identity manages Tide s staff identity platform, ensuring secure access with modern strategies like zero trust and multi-factor authentication. Collaboration is central to our work standups, shared channels, and cross-functional projects keep us aligned and cohesive. About the Role We re seeking a Senior Product Security Engineer with a passion for application security and resilient software development. You ll be responsible for hunting vulnerabilities in our web and mobile applications, collaborating with engineering teams to remediate strategically, and ensuring security is seamlessly integrated into our development process. You ll be an advocate for security across the organization, mentoring engineers, and introducing the latest security tools and trends. As a Senior Product Security Engineer, you will: Dive deep into mobile and web technologies to proactively hunt for vulnerabilities. Secure cloud-native applications, ensuring best practices across Tide s AWS cloud environment. Perform threat modeling and guide teams in secure design principles to prevent vulnerabilities. Remediate vulnerabilities through strategic initiatives and hands-on patching. Act as a subject matter expert across a range of security areas, particularly application security. Mentor and coach junior engineers, sharing your expertise to raise the security bar. Integrate security into our CI/CD pipelines, leveraging automation to catch vulnerabilities early. What We re Looking For: Extensive experience in Application Security (AppSec), with a deep understanding of concepts like Secure Enclave, URL Schemes vs. Universal Links, and presigned URLs in S3. Proficiency with tools like Burp Suite (bonus points if you ve built custom extensions). Excellent communication skills able to clearly articulate vulnerabilities and advocate for their remediation. Hands-on experience with cloud-native applications and consistently applying security best practices. Ability to write proof-of-concept (POC) scripts to demonstrate findings and their potential impact. A passion for the security community public speaking, blogging, bug bounties, or sharing your work on GitHub is a plus. Our Tech Stack: Cloud Environment: 100% containerized on AWS EKS. Infrastructure as Code (IaC): Managed via Terraform and Terragrunt. Deployment: GitOps with Argo CD, supported by Helm and Crossplane. CI/CD: GitHub Actions and all source code hosted on GitHub. What You ll Get in Return: Competitive salary Health Insurance (Self & Family) Term & Life Insurance OPD Benefits Mental Well-being Support through Plumm Learning & Development Budget WFH Setup Allowance Leave Benefits: 15 Privilege Leaves, 12 Casual Leaves, 12 Sick Leaves, 3 Paid Days Off for Volunteering or L&D Activities Stock Options Tidean Ways of Working: We support a flexible workplace model, balancing remote and in-person work to meet the needs of different teams. While remote work is encouraged, we believe in face-to-face interactions to foster innovation and strengthen team spirit. Our offices are hubs for collaboration and community-building. Diversity & Inclusion at Tide: At Tide, diversity and inclusion are at the heart of our culture. Our Tideans come from diverse backgrounds, bringing unique perspectives that help us build products that resonate with our members. We are committed to creating an environment where everyone s voice is heard, and all individuals regardless of ethnicity, gender identity, sexual orientation, or disability are welcomed and celebrated. We are One Team, fostering transparency and inclusion in everything we do.