Computer Science in Baddi,Himachal Pradesh jobs

About Our Team Our Security Architecture team, reporting to the CISO, plays a critical role in designing and implementing robust security solutions across all digital domains. The team works alongside Security Operations & SOC and Governance, Risk, and Compliance teams, ensuring the organization s technological infrastructure is secure and aligned with best industry practices. Under the leadership of the Security Architecture Lead, the team effectively supports our cybersecurity strategy, focusing on building a secure environment across all sectors. Role Overview The Health & Science Cybersecurity FTE will work under the direction of the Security Lead to ensure the cybersecurity resilience of our Health & Science sectors. This role will focus on implementing security measures and strategies tailored to the specific challenges of healthcare and scientific environments. Main Responsibilities Portfolio Optimisation & Functional Gaps Assess the efficacy of deployed security solutions within the health and science sectors and benchmark against leading vendor solutions. Evaluate the organization s cybersecurity solution portfolio and address identified gaps. Policies, Tech Standards & Security by Design Collaborate with IT, enterprise risk, and other teams to design and update policies and technical standards for hardware/software and applications in health and scientific settings. Work with product development teams to ensure cybersecurity practices are integrated and maintained throughout the product lifecycle in healthcare and scientific projects. Regularly review and update security policies to ensure the protection of health and scientific data throughout the acquisition and development lifecycle. Perform certification and accreditation processes for new systems in healthcare and scientific environments to ensure compliance and security readiness. About You Experience 5-7 years of professional experience (equivalent combination of experience and education is acceptable). Experience working in international environments. Proven expertise within cybersecurity teams, particularly in health and scientific environments. Track record of designing and implementing security solutions tailored to the unique challenges and regulatory requirements of health and science sectors. Soft Skills Experience working in large digital teams, understanding the connection between business and digital processes. Strong stakeholder management and communication skills, particularly with senior leadership. Problem-solving mindset and ability to take initiative. A hands-on, pragmatic attitude towards driving change. Positive, "can-do" attitude. Technical Skills Proficiency in the Microsoft tech stack and leveraging ecosystem synergies. Experience with AGILE or similar project management frameworks. Working knowledge of information security management frameworks (ISO/IEC 27001, ITIL, NIST, NISD, CISSP/CCSP, QxP, CIS20). Education Bachelor's and master's degree (preferred) in Information Technology, Computer Science, Cybersecurity, or Information Security. Languages Proficiency in English. Qualification : Bachelors and masters degree (preferred) in any of the following fields of study: Information Technology, Computer Science, Cybersecurity or Information Security

Sr. Computer Scientist-I Location: Noida, Uttar Pradesh, India Employment Type: Full-Time About Adobe At Adobe, we re changing the world through digital experiences. From emerging creators to global brands, we empower everyone to bring their ideas to life across images, videos, and apps. Adobe has long been committed to fostering a diverse and inclusive workplace where every employee has the opportunity to thrive. The Opportunity As a Sr. Computer Scientist-I at Adobe, you ll join the Digital Experience (DX) team, a $4B+ business serving enterprise clients, including 95%+ of Fortune 500 companies. This is a pivotal opportunity to work with Adobe Campaign, a comprehensive marketing automation platform that delivers personalized, cross-channel marketing campaigns at scale. You will play a crucial role in enhancing the platform s capabilities, driving data-driven marketing initiatives, and integrating Adobe Experience Cloud solutions. Key Responsibilities Complex Systems Integration: Ensure effective integration of new features with existing components, maintaining high performance and reliability. Advanced Algorithmic Design: Develop and optimize sophisticated algorithms to solve complex problems, enhancing system functionality. Strategic Design Judgment: Make informed design decisions aligned with long-term product goals and architectural standards. Product and Technology Expertise: Stay ahead of emerging technologies to drive innovation and continuously improve our offerings. End-to-End Product Ownership: Own product solutions through their complete development lifecycle, ensuring high quality. Collaboration: Work closely with product management, experience designers, and quality engineering to define feature requirements. Mentorship: Mentor junior team members, sharing knowledge and expertise to foster a collaborative environment. Agile Environment: Work in a fast-paced, highly collaborative, and agile setting with geographically distributed teams. Required Skills & Expertise Experience: 10-13 years of hands-on design and development experience in technical roles, with proven experience across the product lifecycle. Technical Expertise: Proficient in microservices architecture, cloud-based web services, design patterns, and frameworks. Programming Languages: Expertise in Java/Python, Kafka, Kubernetes, Docker, Web Services, REST, JUnit, MySQL/Postgres/MongoDB. Cloud Expertise: Knowledge of AWS services and/or Azure, including Docker, Jenkins, Splunk, Prometheus, and New Relic. Problem Solving: Ability to drive decisions and build consensus in ambiguous scenarios. Communication Skills: Excellent oral and written communication skills, both interpersonal and client-facing. Educational Qualifications: Minimum of a Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Be part of a dynamic and innovative team shaping the future of digital marketing technologies. Collaborate with leading experts in an exceptional work environment recognized globally. Opportunities for continuous learning, mentorship, and professional growth. Competitive compensation and benefits package, with flexible work culture. Adobe is an Equal Opportunity Employer and is committed to creating a diverse, inclusive, and empowering workplace. We encourage applicants from all backgrounds to apply. Qualification : Minimum of a Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Join the Print & Scan Team at Adobe: Shape the Future of Digital Experiences At Adobe, we re passionate about changing the world through digital experiences. We empower creators from emerging artists to global brands with everything they need to design, deliver, and experience exceptional digital content. We're committed to fostering an inclusive environment, where ideas can come from anywhere and everyone has the opportunity to contribute. If you're ready to work in a fast-paced, innovative environment and help shape the future of printing and scanning technologies, then Print & Scan is the place for you. What You ll Be Doing: As part of the Print & Scan Group, you will have the freedom to explore, design, and develop industry-leading technologies for the printing and scanning world. Your work will span multiple platforms, including Windows, UNIX, and Embedded Systems ensuring that our cutting-edge technologies power the printing ecosystem across the globe. Design & Development: You ll be contributing to major software releases, from the ground up, with a focus on Print technologies (Postscript, PDF, Graphics, Color, Fonts) and Scan technologies (OCR, Compression, Digital Security, etc.). Cross-Platform Expertise: You'll work with various platforms like Intel, ARM, MIPS, PPC, VxWorks, and NetBSD, addressing broad architecture, design, and performance challenges. Mentorship & Leadership: Guide and mentor junior engineers, sharing your knowledge and expertise to inspire and lead the next generation of engineers. Collaborative Innovation: Collaborate with Product Marketing and other teams to evaluate new features and find ways to continually enhance the product suite. Strategic Influence: Provide strategic direction in evaluating new technologies, contributing significantly to the development of future products and technologies. Who You Are: You hold a B.Tech/M.Tech in Computer Science & Engineering from a leading institution. You have 3.5 to 6.5 years of hands-on experience in design and development in C/C++, with a strong understanding of data structures, algorithms, and object-oriented design. You are a platform expert with experience working on Windows and Macintosh, and an in-depth understanding of cross-platform issues. You have strong architecture and design skills and a deep understanding of product life cycles and performance optimization. You're a self-starter, always looking for ways to drive innovation, and you thrive in fast-paced, global environments. Bonus points if you have experience working with printing technologies or embedded systems. At Adobe, we believe in giving our team members the autonomy to grow and make an impact. Our unique Check-In approach fosters a culture of ongoing feedback, ensuring that everyone has the support they need to thrive. We also offer a wide range of benefits designed to support your well-being and career development, making Adobe not just a workplace, but a community where you can truly grow. If you're passionate about innovation, solving complex problems, and making a meaningful impact on the world of digital experiences, Adobe is the place for you. Apply Now to become part of our Print & Scan Group and help us shape the future of printing and scanning technologies! At Adobe, we are committed to creating an inclusive environment that reflects the diversity of the world around us. We do not discriminate on the basis of race, gender, sexual orientation, disability, religion, or any other protected characteristic. Join us today and be part of an exciting journey toward shaping the future! Qualification : B.Tech / M.Tech in Computer Science & Engineering from an outstanding institute.

Job Title: Computer Vision Researcher Location: Noida Headquarters Overview: We are looking for a talented and driven Computer Vision Researcher to join our Advanced Robotics team. As a key member, you will contribute to the design, optimization, and integration of cutting-edge computer vision technologies that power our innovative robotic systems. Your expertise will drive the development of humanoid robots capable of navigating and interacting with complex, dynamic environments. This role will involve working on various advanced robotics products, including the Collaborative Robot, Quadruped (Trakr), Remote Ultrasound Solution, and Bi-Ped Robot. Key Responsibilities: Conduct Advanced Research: Lead research in computer vision areas such as image segmentation, object detection, motion tracking, sensor fusion, and more to create efficient algorithms enabling robots to perceive, navigate, and interact in real time with their environments. Deep Learning Model Development: Design, train, and fine-tune deep learning models (e.g., CNNs, RNNs, GANs) for various computer vision tasks. Work with large datasets to optimize performance and accuracy. Data Pipeline Management: Develop and implement efficient data processing pipelines for large-scale datasets. Utilize data augmentation techniques to enhance model robustness. Prototype Development: Build prototypes and proof-of-concept systems to demonstrate the integration of computer vision algorithms into practical robotic applications. Real-time Optimization: Evaluate and optimize the performance of computer vision models, particularly for real-time applications, ensuring both high accuracy and computational efficiency, especially for embedded or mobile devices. Third-Party Integration: Facilitate the integration of third-party computer vision libraries and frameworks into the robotic control stack, ensuring seamless compatibility with existing systems. Collaboration Across Teams: Work closely with product teams, hardware engineers, and software developers to integrate computer vision technologies into robotics hardware for enhanced robot movement and features. Mentorship and Guidance: Mentor junior researchers and engineers in computer vision techniques. Provide guidance on experimental design, data analysis, and algorithm development. Qualifications & Skills: Education: Ph.D. or Master s degree in Computer Science, Computer Vision, AI, Robotics, or a related field. Experience: 5-8 years of experience in computer vision research and development, including working with deep learning frameworks and large-scale datasets. Expertise in Computer Vision: Strong knowledge of image processing, feature extraction, object detection, segmentation, tracking, and other related areas. Deep Learning Frameworks: Proficiency with frameworks like TensorFlow, PyTorch, Keras, or Caffe. SLAM and VIO Knowledge: Experience with Visual SLAM, LiDAR SLAM, and Visual Inertial Odometry (VIO) is a plus. Advanced Networks: Hands-on experience with CNNs, RNNs, GANs, and other advanced deep learning architectures. Traditional Computer Vision: Familiarity with traditional computer vision techniques such as SIFT, SURF, HOG, and Optical Flow. Programming Skills: Strong skills in C++, Python, or other relevant programming languages. Data Handling: Experience with large image datasets (e.g., COCO, ImageNet), data augmentation, and processing techniques. Computer Vision Libraries: Experience with libraries like OpenCV or scikit-image. GPU Programming: Familiarity with CUDA for training deep learning models on GPUs. Machine Learning Fundamentals: Strong background in machine learning algorithms, statistical methods, and performance analysis techniques. Research & Innovation: Ability to stay current with the latest research trends in computer vision and apply cutting-edge methods to real-world challenges. Be a part of a dynamic, forward-thinking team pushing the boundaries of robotics. Work on innovative products with the potential to redefine the robotics landscape. Collaborate with experts across multiple disciplines in a supportive, growth-focused environment. If you're passionate about advancing the future of robotics and have a deep understanding of computer vision, we encourage you to apply and make a tangible impact on the next generation of intelligent robotic systems. Qualification : PhD or master's degree in computer science, Computer Vision, AI, Robotics, or a related field

Role Overview: The Adobe Express Content Team is looking for a passionate and motivated Full Stack Engineer to help build a scalable and responsive design application. As part of the team, you ll work on creating intuitive design tools that enable fast and easy content creation for users across web and mobile platforms. Key Responsibilities: UI and Service Development: Build new UI components and optimize scalable backend services and APIs to enhance user workflows. End-to-End Engineering: Architect and implement modern front-end and back-end solutions, handling upstream and downstream dependencies. Collaboration & Design: Work closely with UI/UX designers, architects, and product managers to create modern and intuitive features that deliver seamless user journeys. Performance Optimization: Extend, optimize, and future-proof parts of both front-end and back-end stacks. Production Support: Build and support production services and ensure smooth operations. Key Skills and Experience Required: Experience: 5+ years of experience in developing sophisticated web applications with responsive designs, modular and loosely coupled code. Technical Proficiency: Experience with JavaScript frameworks like TypeScript, React, ES6, and architectures like MVC/Flux/Redux. Knowledge of web standards, modern browsers, and performance optimizations (e.g., JS engines, CSS, reflow, repaint). Backend Services & Cloud Technologies: Familiarity with backend services, ElasticSearch, Node.js, Python, AWS services (Lambda, API Gateway, DynamoDB), Kubernetes, and Elastic Containers. Testing & Debugging: Strong knowledge of algorithms, data structures, and distributed systems design/implementation. Experience with unit, integration, and end-to-end testing. Production Maintenance: Experience with maintaining and debugging production environments and participating in on-call rotations. Internal Opportunities: At Adobe, creativity and constant learning are integral to career growth. Join us for an exciting journey of innovation and opportunity!

Job Title: Data Science Manager Location: Bengaluru, Karnataka, India Department: Data Science Experience: 6 to 8 years About the Role We are seeking a highly analytical and detail-oriented Data Science Manager with deep expertise in Marketing Mix Modeling (MMM) to join our Data Science team. You will lead the development, implementation, and interpretation of MMMs to quantify the impact of marketing channels on business outcomes. Collaborating closely with marketing, finance, and strategy teams, you will guide media investments, enhance ROI, and drive data-driven decision-making. Key Responsibilities Collaborate with Engagement Managers, Account Delivery Managers, and client stakeholders to gather business requirements and define project scope. Develop and execute detailed project plans aligned with objectives. Design data science solutions tailored to client goals. Assign tasks to delivery team members based on their skills and monitor progress. Lead project execution, tracking milestones, ensuring timely and quality delivery. Monitor delivery quality and scorecard metrics; develop action plans for improvement. Lead scrum meetings, client stand-ups, and weekly business reviews. Enforce best practices for quality assurance including peer reviews, coding standards, and documentation. Provide both technical and business guidance to the delivery team. Mentor and coach team members to build a high-performance culture. Foster an environment of trust and encourage innovation. Review and approve team deliverables before client submission. Required Skills Technical Skills Advanced knowledge of probability, statistics, and practical machine learning, including awareness of pitfalls and mitigation approaches. Intermediate proficiency in Python and SQL. Intermediate knowledge of project management methodologies and tools. Competency in MS Office (Excel, PowerPoint, Word). Non-Technical Skills Strong business acumen with the ability to assess financial impact of decisions on delivery and client solutions. Skilled in storytelling and presenting data-driven insights to mid-management clients. Ability to balance pragmatic solutions with time and business impact considerations. Excellent interpersonal skills, including conflict resolution, empathy, communication, listening, and negotiation. Demonstrated leadership and mentorship abilities. Self-driven with strong ownership and accountability. Educational Qualifications Undergraduate degree in Engineering, Statistics, Mathematics, Computer Science, or related technical fields. Candidates with non-technical degrees should demonstrate relevant experience and technical aptitude. Qualification : Undergraduate degree in Engineering, Statistics, Mathematics, Computer Science, or related technical fields.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Job Title: Backend Developer Intern (SDE) Cybersecurity | CloudSEK Location: Bengaluru, Karnataka, India About CloudSEK CloudSEK is a fast-growing AI-powered cybersecurity company that specializes in digital risk monitoring. Founded in 2015 and headquartered in Singapore, we are building the world s fastest and most reliable AI platform to identify and mitigate digital threats in real-time. We ve received multiple accolades, including: NASSCOM-DSCI Excellence Award for Security Product Company of the Year NetApp Excellerator s Best Growth Strategy Award Raised $7M Series A funding led by MassMutual Ventures At CloudSEK, we foster a culture that values curiosity, creativity, and collaboration. If you're passionate about cybersecurity and backend development, we want you on our team! What You'll Do (Internship Responsibilities) As a Backend Development Intern (SDE), you will: Work with experienced developers to design, build, and maintain scalable backend systems for our cybersecurity products Write clean and efficient code using modern programming languages like Node.js or Go Collaborate with cross-functional teams including front-end developers, data scientists, and product managers to deliver innovative features Participate in code reviews and contribute to maintaining high-quality coding standards Troubleshoot and fix bugs, performance bottlenecks, and security issues Document technical specifications and support materials Stay updated with emerging technologies in backend development and cybersecurity What We're Looking For (Intern Requirements) Pursuing or recently completed a degree in Computer Science, Software Engineering, or related field Solid understanding of backend development with skills in Node.js or Go Basic knowledge of APIs, databases (SQL), and web technologies Strong analytical and problem-solving abilities Excellent communication and teamwork skills Eagerness to learn, adapt, and grow in a dynamic environment Passion for cybersecurity and innovation Preferred Qualifications (Nice to Have) Exposure to cloud platforms like AWS, GCP, or Azure Experience with Docker, Kubernetes, or similar containerization tools Familiarity with CI/CD pipelines, Git, Jenkins, and DevOps workflows Understanding of NoSQL databases, caching, and distributed systems Hands-on experience working on real-world cybersecurity products Mentorship from a team of industry experts Flexible working hours and an open, vibrant office culture Free food, unlimited snacks, and drinks at our Bengaluru office Fun team events, games, and music we work hard and celebrate harder! Note: This is a paid internship opportunity. Duration and stipend will be discussed during the interview process. Join CloudSEK as a Backend Intern and work on cutting-edge technology that protects global digital assets. Apply now to be part of a team that s shaping the future of digital risk management. Qualification : Pursuing or recently completed a degree in Computer Science, Software Engineering, or related field

Job Title: Data Science Manager Location: Bengaluru, Karnataka, India Department: Data Science Experience: 6 8 Years Employment Type: Full-Time About CloudSEK CloudSEK is one of India s most trusted cybersecurity product companies, building world-class AI-driven platforms to detect and resolve digital threats in real-time. Our suite of products XVigil, BeVigil, and SVigil serve Fortune 500s and government bodies across the globe. Headquartered in Singapore and expanding rapidly across Asia, India, and the Americas, CloudSEK s mission is to create a safer digital ecosystem through contextual threat intelligence and proactive security. Role Overview: Data Science Manager (Marketing Mix Modeling) We are looking for a highly analytical Data Science Manager with specialized experience in Marketing Mix Modeling (MMM) to lead data-driven strategic initiatives. You will be responsible for delivering predictive models that evaluate the impact of marketing investments and optimizing ROI. The role involves direct engagement with cross-functional teams, including marketing, finance, and strategy, to influence key business decisions. Key Responsibilities Project Management & Delivery: Collaborate with Engagement Managers, Account Delivery Managers, and client stakeholders to define and refine business requirements. Develop detailed project plans that align with business goals and delivery timelines. Lead end-to-end execution of MMM projects, monitoring milestones, scope, and quality. Host internal scrum meetings and external Weekly Business Reviews (WBRs) with clients. Ensure all deliverables codes, dashboards, presentations meet quality standards and timelines. Report on delivery scorecard metrics and implement corrective action plans to improve performance. Data Science & Modeling: Design and develop Marketing Mix Models (MMM) to assess the effectiveness of marketing channels. Apply advanced techniques in predictive modeling, machine learning, and linear regression. Interpret model outputs to guide media planning, budget allocation, and strategic forecasting. Stay up-to-date with evolving methodologies and tools in data science and ML. Team Leadership & Coaching: Assign tasks based on team members strengths and monitor performance. Provide both business and technical mentorship, guiding team members through challenges. Build a high-performance, collaborative, and innovative delivery environment. Encourage experimentation and ownership within the team. Required Skills & Qualifications Technical Skills (Must-Have): Expertise in Marketing Mix Modeling (MMM) and predictive analytics. Advanced proficiency in machine learning, statistics, and data interpretation. Working knowledge of Python and SQL for data manipulation and model development. Intermediate experience with project management tools and methodologies (Agile/Scrum). Familiarity with MS Excel, PowerPoint, and data visualization tools. Soft Skills: Strong business acumen with the ability to translate insights into financial and strategic impact. Excellent communication skills for interacting with mid-level to senior stakeholders. Strong leadership and interpersonal skills: coaching, conflict resolution, and negotiation. Ability to balance perfection and pragmatism when delivering real-world solutions. Preferred Educational Background: Bachelor s degree in Engineering, Statistics, Mathematics, Computer Science, or a related technical field. Candidates with non-technical degrees must demonstrate strong technical aptitude through prior work experience. Impactful Work: Build models that influence multi-million-dollar marketing decisions. Collaborative Culture: Work alongside a high-energy, motivated, and diverse team. Growth Opportunities: Drive meaningful outcomes with room to experiment and lead. Work-Life Balance: Enjoy flexible working hours, a relaxed work environment, and plenty of snacks! Location: Work out of our energetic and innovation-driven Bengaluru office.

Principal Data Scientist / Data Science Manager Ads Team Location: Bangalore, Karnataka | Department: Tech Shape the Future of AdTech at Meesho Join Meesho s high-impact Data Science team often compared to the Avengers for our ability to solve some of the toughest data problems in India s e-commerce landscape. We build intelligent, scalable systems that serve millions of users across diverse product categories. Our work in fraud detection, inventory optimization, and platform vernacularization continues to unlock new possibilities in digital commerce. Now, as part of our Ads team, we re seeking a visionary Principal Data Scientist / Data Science Manager to elevate our advertising technology through cutting-edge machine learning solutions. About the Role As a leader within our AdTech division, you ll design, implement, and scale innovative ML solutions for real-time bidding, ad ranking optimization, budget pacing, and performance measurement. Your work will drive business impact and help define the future of our monetization strategy. Key Responsibilities Design and develop advanced bidding and budget pacing algorithms to optimize ad spend and ROI Create experimental frameworks to measure ad effectiveness and attribution Collaborate cross-functionally to transform business needs into efficient AI/ML-based solutions Define and communicate the long-term data science roadmap with business and tech leadership Mentor junior data scientists and guide team-level strategy Lead research initiatives in ML, auction theory, and AdTech domains Required Qualifications B.Tech in Computer Science, Machine Learning, or related field with 6+ years of hands-on experience Strong expertise in auction theory, predictive modeling, causal inference, and reinforcement learning Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow Experience with big data tools and environments Proven ability to mentor teams and manage complex analytical projects Excellent written and verbal communication skills Preferred Qualifications M.Tech or Ph.D. in Computer Science or related discipline with ML specialization 3+ years of experience working in AdTech, real-time bidding systems, or programmatic advertising Track record of taking ML research to production Publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI) About Meesho Meesho is India s top-rated e-commerce workplace and the first Indian horizontal e-commerce platform. We empower over 1.75 million sellers and serve customers across every serviceable pincode in India. Our platform enables small businesses and entrepreneurs to thrive online by offering zero commission, lowest shipping cost, and state-of-the-art logistics support. We combine local relevance with a strong technology backbone to deliver a uniquely inclusive shopping experience. Our Mission Democratizing Internet Commerce for Everyone We aim to enable 100 million small businesses to sell online. Our seller-first approach, innovation-first culture, and focus on the underserved population of Bharat drive everything we do. Our Culture & Benefits At Meesho, we ve built a people-first, high-performance culture backed by 11 guiding principles (our "Mantras"). Our employees benefit from a workplace that encourages reflection, continuous growth, and mobility. What We Offer: Competitive compensation including equity options and performance bonuses Comprehensive wellness support via our MeeCare Program medical, mental, and financial wellbeing Flexible benefits, including generous leave policies, parental support, and L&D assistance Support with relocation, telehealth, fitness, and recreational discounts Frequent engagement activities, performance recognition, and a fun, inclusive environment If you are ready to lead transformative projects in advertising and machine learning at scale, apply today and help us redefine commerce in India. Apply now and join Meesho s Data Science revolution. Qualification : B.Tech in Computer Science, Machine Learning, or related field with 6+ years of hands-on experience

Principal Applied Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time Overview Join the Computational Advertising Team within the AI & Research organization at Microsoft. We are seeking a passionate Principal Applied Scientist with expertise in machine learning, deep learning, natural language processing, and optimization. The team works on some of the most exciting problems in machine learning, powering the search advertising ecosystem of Bing, which holds a 30% share of desktop search in the US and a significant presence worldwide. The Principal Applied Scientist will contribute to building large-scale machine learning systems that model user responses, ranking, and various other business applications. Your work will have direct business impact, collaborating with top-tier machine learning scientists and engineers to deliver innovative solutions. Key Responsibilities Design & Implement ML Algorithms: Develop, tune, and analyze complex algorithms for large datasets and real-time systems in the advertising ecosystem. Productionize Machine Learning Models: Focus on deploying machine learning models in large-scale production environments, ensuring high-quality and sustainable performance. Collaborate with Experts: Work closely with cross-functional teams of scientists and engineers to integrate advanced machine learning techniques into production systems. Research & Development: Contribute to ongoing research in machine learning, optimization, and information retrieval to advance the core technologies in search advertising. Mentorship & Thought Leadership: Share your expertise with the team, mentor junior scientists, and help shape the direction of research efforts within the team. Qualifications Required Qualifications: Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics. Additional Requirements: Strong understanding of probability, statistics, machine learning, A/B testing, and optimizing ML models for accuracy. Experience with distributed computing systems (e.g., Hadoop, Spark) for large-scale training and prediction with ML models. Hands-on experience implementing machine learning algorithms from research papers to production systems. Expertise in TensorFlow or PyTorch and deep learning models. Preferred Qualifications: Solid understanding of natural language processing (NLP), information retrieval, and optimization techniques. Experience working with large-scale, real-time systems and databases. Strong track record of delivering machine learning systems to production and optimizing them at scale. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft, you ll have the opportunity to work with the brightest minds, contribute to cutting-edge AI advancements, and make a significant impact in a growing $100 billion global market. Employee Benefits Industry-leading healthcare coverage Generous paid time off and family leave policies Access to continuous learning and professional development resources Employee discounts and savings programs Opportunities to collaborate with the world s leading AI experts Global networking and community engagement opportunities Microsoft is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are treated with respect, regardless of race, gender, religion, disability, or any other characteristic protected by law. Qualification : Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics.

Job Title: Data Engineering Intern / Junior Data Engineer Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a passionate and motivated Data Engineering Intern to join our team. This is an excellent opportunity for individuals with a foundational understanding of data concepts who are eager to gain hands-on experience with real-world data engineering projects and modern cloud technologies. Key Responsibilities Assist in building and maintaining ETL/ELT data pipelines. Support data extraction, transformation, and loading processes. Help design and implement data warehouses and data lakes. Work closely with senior engineers and analysts to understand data requirements. Write basic SQL queries and Python scripts for data manipulation. Participate in data validation and quality checks. Document workflows, processes, and technical details. What You ll Need Basic understanding of SQL and Python. Familiarity with ETL concepts and data warehouse/lake architectures. Interest in cloud platforms such as Azure, AWS, or Google Cloud. Strong problem-solving skills and analytical thinking. Willingness to learn, adapt, and take initiative. Clear and effective communication skills. Bonus Skills (Nice to Have) Exposure to tools like Azure Data Factory, Databricks, or Power BI. Academic or personal projects related to data engineering. Familiarity with Git or other version control systems. Get hands-on experience with industry-standard data tools and technologies. Learn from a collaborative and experienced team. Build a solid foundation for a career in data engineering. Opportunity for full-time employment based on performance and growth.

Product AI Tester / Quality Engineer II Location: Remote (with occasional stays at Zostel properties) Experience: 1-4 years Employment: Full-Time About Zostel We didn t just build hostels we created a playground for curious travelers. Now, we re weaving AI into every step of the guest journey from predictive pricing to automated operations and super-personalized recommendations so travelers get that magical wow, this just works feeling. Quality is our moat, and you will be the guardian of that promise. What You'll Do Own the Quality Narrative Collaborate with Product Managers from ideation to launch to define what "good" looks like. Translate fuzzy product ideas into clear, testable acceptance criteria and call out anything vague. AI-First Testing & Tooling Build and maintain smart automated test suites using tools like Testsigma, AccelQ, or any new AI-powered QA tech. Coach the team on where AI can reduce tedious regression cycles and where human intuition still reigns. Automate Like a Developer Write lightweight automation scripts (Python preferred, but JavaScript or Java also welcome) to test APIs, mock data, and generate load. Keep the CI/CD pipeline stable if it breaks, you re already on it before Slack lights up. Exploratory Sherlocking Put on the traveler hat and explore the product to find those tricky, production-only bugs. Log crystal-clear bugs engineers actually thank you for. Data-Driven Feedback Loops Dive into logs, dashboards, and SQL queries to detect flakiness and trending issues. Use data, not gut feelings, to recommend improvements. Release Confidence & Post-Launch Vigil Approve (or hold) production releases with confidence. Monitor live metrics post-launch to catch and fix issues before users notice. Who You Are Degree: BE/BTech in Computer Science, IT, or equivalent hands-on experience. Skills: Comfortable coding automation scripts (Python is a plus). Experience: 1-4 years in real-world QA/testing, ready to move beyond checkbox testing to AI-powered efficiency. Collaboration: You speak fluent engineer and product manager, bridging gaps smoothly. Detail-Oriented: You catch pixel-perfect UI glitches and subtle latency spikes. Curious Learner: The moment a new AI testing tool launches, you re already exploring it. Influence Zostel s AI-powered future with your test coverage ensuring smooth feature rollouts to thousands of travelers. Work with the latest QA technology, leaving legacy testing frameworks behind. Enjoy remote-first work with the option to stay at Zostel hostels when wanderlust calls. Take full ownership spot a problem and you get the keys (and Slack emoji) to fix it. Qualification : BE/BTech in Computer Science, IT, or equivalent hands-on experience

Technical/Proposal Writer Location: India (Remote) Experience: 5+ Years Required Work Mode: Remote | Full-Time Position Overview We are hiring a skilled and detail-oriented Technical/Proposal Writer (Remote) with 5+ years of experience in crafting technical proposals, RFP responses, and client-focused documentation in the IT, software development, AI, cloud, and data engineering sectors. This is a remote opportunity ideal for candidates with excellent communication and writing skills, a passion for technology, and a proven track record in proposal development. Key Responsibilities Proposal Development: Collaborate with pre-sales, technical, and business development teams to create tailored responses to RFPs, RFIs, and client inquiries. Ensure proposals align with client requirements, win themes, and business goals. Technical Content Creation: Write clear, concise, and engaging technical content including proposals, pitch decks, case studies, and solution documents. Translate complex concepts into easy-to-understand language for non-technical stakeholders. Customization & Strategy: Personalize proposals to meet individual client needs and highlight differentiators. Contribute to proposal strategy and competitive positioning. Documentation Management: Maintain a centralized knowledge base and proposal content library. Ensure documents are current, accurate, and aligned with product/service updates. Quality Assurance: Review all documentation for grammar, consistency, technical correctness, and formatting compliance. Adhere to proposal timelines, guidelines, and internal quality standards. Collaboration: Work cross-functionally with sales, project management, and technical SMEs. Actively participate in brainstorming sessions and kickoff meetings to align proposal strategy. Requirements Bachelor s degree in Computer Science, Engineering, Business, or related field. Minimum 5 years of experience in technical or proposal writing, particularly in IT, AI, Data, SaaS, or consulting domains. Excellent written and verbal communication skills in English. Strong understanding of RFP processes and proposal best practices. Ability to manage multiple projects with tight deadlines. Proficiency in MS Office, Adobe Acrobat, and tools like Google Docs, Notion, or RFPIO. Self-motivated, detail-oriented, and comfortable working in a remote, fast-paced environment. Nice-to-Have Experience with CRM and sales tools such as Salesforce or HubSpot. Familiarity with industry frameworks (ISO, GDPR, etc.) or proposal automation tools. Prior experience writing for international clients (especially US, UK, or EU markets). 100% Remote work with flexible hours. Collaborative and inclusive work culture. Exposure to global projects across emerging tech verticals. Career advancement opportunities in a fast-growing organization. Apply Now Qualification : Bachelors degree in Computer Science, Engineering, Business, or related field.

Machine Learning Engineering Manager Experience: 10+ years in Software Engineering, 2+ years in Engineering Management About Coinbase: At Coinbase, our mission is to increase economic freedom in the world. This massive, ambitious goal demands the best from us every day as we build the emerging on-chain platform and, with it, the future global financial system. To achieve our mission, we re looking for a candidate who is passionate about our mission and believes in the power of crypto and blockchain technology to modernize the financial system. If you thrive under pressure, relish working with top-tier colleagues, and actively seek feedback to continuously improve, Coinbase may be the place for you. The Role: We are seeking an experienced Machine Learning Engineering Manager to lead our ML team. This team is focused on developing and scaling a multi-cloud LLM platform that caters to Coinbase s customers and employees. With over 100 million customers globally, we leverage cutting-edge AI technologies to create solutions such as customer support chatbots and predictive systems, ensuring that we deliver exceptional customer experiences. As a hands-on leader, you'll be responsible for the continued growth of this team, working with industry-leading Large Language Models (LLMs) to provide innovative solutions for Coinbase customers and internal stakeholders. You will lead a team of talented engineers to deliver cutting-edge products while ensuring scalability, security, and customer-centricity. What You ll Be Doing: Lead a team of individual contributors (ICs) while also being hands-on with coding to build advanced ML solutions. Develop and implement the multi-year strategy for the Machine Learning Language team with the technical leadership within your team. Mentor and coach your direct reports, fostering growth and supporting career development. Act as a technical leader, making architectural decisions to scale and enhance the LLM platform. Collaborate with cross-functional teams (engineers, product managers, senior leadership) to shape and deliver a tangible roadmap every quarter. Work with talent acquisition teams to recruit top engineering talent, helping to build a culture of excellence at Coinbase. Drive processes to ensure engineering quality, meeting our engineering SLAs and adhering to best practices. Navigate through challenges and uncertainties such as dynamic product charters, crypto market volatility, and tight product delivery timelines. Manage a wide variety of stakeholders to ensure the delivery of ML-based solutions that meet company needs. What We Look For in You: At least 10 years of experience in software engineering. Minimum 2 years of engineering management experience leading teams. Experience managing engineers working with Machine Learning and backend technologies. Proven ability to design, build, and scale production ML applications, with hands-on experience in leading highly competent engineering teams. Strong understanding of high-quality code and software engineering processes. A passion for building an open financial system that brings the world together. Nice to Haves: BS, MS, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field. Familiarity with Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive. Experience with Python and data-related technologies. Expertise in model interpretability and responsible AI. Experience with data analysis and visualization. Coinbase is a fast-paced, high-energy environment where exceptional talent thrives. If you're ready to take on big challenges and make a direct impact on the future of global finance, we want you on our team. Join us and work alongside some of the best minds in the industry, driving innovation and shaping the future of crypto. Qualification : BS, MS, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.

Our Company At Adobe, we're changing the world through digital experiences. We empower everyone from emerging artists to global brands with everything they need to design and deliver exceptional digital experiences. We're passionate about helping people create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We are on a mission to hire the very best talent and are committed to creating exceptional employee experiences where everyone is respected and has equal access to opportunity. New ideas can come from anywhere, and the next big idea could be yours! About the Team The Adobe Content Platform and Collaboration (ACPC) group is building a highly scalable and available content platform for Adobe s SaaS offerings, running on Amazon AWS. We're pushing the future of SaaS development by leveraging the latest technology stacks and design thinking. Our dedicated team of developers is building low-latency, cloud-scale foundational components such as Cache, Storage, Databases (SQL and NoSQL), Queuing, Pub/Sub, etc., to create a standard for developing, deploying, operating, and governing Adobe SaaS solutions, catering to millions of requests every day. What the Team Does: We love writing software. We love solving complex problems with simple, elegant designs. We build the platform using modern container orchestration technologies. We take a long-term architectural approach, ensuring that the platform supports both current and future needs of all Adobe services. We use best-in-class tools like GitHub, Slack, and any tools that help us stay productive. We are committed to adapting our processes to meet evolving needs. We trust each other to do our jobs exceptionally well. What You ll Do: Design and develop one or more services/components within the platform. Take responsibility for the full lifecycle of the project from user story to design, development, testing, documentation, and maintenance. As a senior team member, you will be responsible for setting code guidelines for the rest of the team. Adhere to standard software engineering practices. Collaborate in a highly dynamic, ever-evolving environment. Work with geographically distributed teams. Mentor junior team members to help them grow and improve. What You Need to Succeed: B.Tech/M.Tech in Computer Science (or equivalent experience) with an excellent academic record. 5 to 8 years of software development experience, primarily in backend systems. Proficiency in data structures and algorithms. Expertise in Java and related technologies (e.g., Spring Boot). Proven experience in designing, building, evolving, and maintaining large-scale, complex software projects. Self-starter with an ability and eagerness to learn new technologies and adapt quickly. Proven experience in developing scalable Cloud-based services on AWS/Azure. Strong programming and problem-solving skills. Good written and verbal communication skills. Strong team player who thrives in a collaborative environment. Experience with Agile development practices. Prior experience with MySQL, Redis, Cassandra, DynamoDB, Kafka will be a bonus. Pure Innovation: We celebrate critical thinkers who embrace challenges and aspire to innovate. Pure Growth: At Adobe, you have the space to grow and contribute meaningfully to something impactful. Pure Team: We build each other up and set aside egos for the greater good. Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by law. Qualification : B. Tech and/or M. Tech in Computer Science with excellent academic record, or equivalent experience

Our Company At Adobe, we re transforming the world through digital experiences. We provide everyone from emerging artists to global brands with everything they need to design and deliver exceptional digital experiences. We re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has equal access to opportunity. We believe that new ideas can come from anywhere in the organization, and the next big idea could be yours! Responsibilities Own the development of features of medium to large complexity, applying in-depth knowledge to turn requirements into architectural and feature specifications. Contribute extensively to the analysis, design, prototyping, and implementation of new features while improving existing ones. Address broad architecture and design issues for current and future products or technologies, providing strategic direction in evaluating new technologies. Collaborate with product management and engineering leads to evaluate and determine new features to be added. Be a proactive self-starter and fast learner who can develop methods, techniques, and evaluation criteria to achieve results. Specialize in one or more platforms and be knowledgeable of cross-platform issues and customer requirements. Significantly contribute towards the development and application of sophisticated concepts, technologies, and expertise within the team. Ensure high-quality code and related documentation. What You Need to Succeed B.Tech/M.Tech from an outstanding institute with 3 to 5 years of hands-on design and development experience in software development, preferably in a product development organization. Strong programming skills in Java. Hands-on experience with REST APIs and message pub/sub models. Proven understanding of frameworks like Spring Boot and Apache Kafka. Knowledge of software fundamentals, including design & analysis of algorithms, data structure design, implementation, documentation, and unit testing. Good understanding of object-oriented design, product life cycles, and associated issues. Strong computer science fundamentals with a solid understanding of architecture, design, and performance. Ability to work proactively and independently with minimal direction. Be an excellent teammate with strong written and oral communication skills. Pure Innovation: We celebrate those who think critically, embrace challenges, and aspire to be trailblazers. Pure Growth: At Adobe, we give you the space and support to grow, contribute meaningfully, and expand your horizons. Pure Team: We build each other up and set aside egos for the greater good. Adobe is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on gender, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by law. Qualification : B.Tech/M.Tech from an outstanding institute with 3 to 5 years of hands-on design / development experience in software development, preferably in a product development organization.

Your Impact As a Data Science Analyst at McKinsey, you will collaborate closely with the Insights & Analytics (IA) group and consulting teams to solve analytically complex client problems in the marketing domain. You will apply advanced analytical and modeling techniques, drawing insights through statistical techniques and predictive modeling to guide marketing efforts. Your primary responsibility will be client service, with an additional focus on knowledge development within the team. Key activities will include: Performing statistical analysis and modeling to support marketing-related client engagements. Developing and refining statistical models aimed at optimizing pricing strategies and promotional activities. Providing guidance to teams on analytics projects, particularly on technique and modeling-related issues. Supporting the development and maintenance of McKinsey s proprietary marketing techniques and contributing to other knowledge development initiatives. Coaching and mentoring new hires by sharing your business, technical, and functional expertise. Delivering high-quality, client-ready end products on time, with attention to detail and performing quality checks as required. Your Growth You will be a key part of McKinsey s Growth, Marketing & Sales (GM&S) team, based in either Gurgaon or Bengaluru, primarily supporting the Insights & Analytics (IA) group of GM&S. This team leverages McKinsey's decades of experience in marketing and sales to help leading companies improve pricing, promotions, assortments, and performance management. The GM&S Solutions team blends cutting-edge software, tailored services, and deep expertise to provide clients with a comprehensive view of their commercial and financial performance. By integrating various data sources into a central data warehouse, the team enables clients to make informed decisions using advanced analytics. McKinsey Solutions fosters innovation in areas such as design thinking, mobile, and social, helping to reshape the consulting model toward asset-based solutions. This is a growing area within McKinsey, with a vibrant ecosystem of alliances, strategic acquisitions, and the development of new products and services that redefine how McKinsey works with clients. As part of McKinsey Solutions, you ll be part of a team of more than 1,000 dedicated professionals, including over 800 analysts and data scientists, working on impactful, innovative solutions. Your Qualifications and Skills Mandatory: Master s degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background. 2+ years of relevant work experience in analytics, business intelligence, or advanced analytics with an analytics firm. Proficiency in statistical programming software such as Python, and comfortable working with large datasets. Familiarity with R and SQL is also preferred. Experience in handling large volumes of data, including data manipulation, data cleansing, and data matching using tools like R, SQL, and Excel VBA. Strong analytical and problem-solving skills, with the ability to break down complex issues, identify root causes, and recommend actionable solutions. Knowledge of forecasting, regression analysis, and segmentation methodologies. Experience with modeling techniques, including logistic regression, linear regression, cluster analysis, CHAID, and similar approaches. Industry experience in consumer goods, telecom, or retail is a plus. Ability to thrive in a dynamic and evolving environment where priorities change frequently, and methodologies are often challenged. Capacity to work efficiently under pressure and meet tight deadlines. Qualification : Masters degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background.

Job Title: Computer Vision Engineer Location: Pune Experience: 3+ years Job Overview We re looking for a passionate Computer Vision Engineer to join a fast-paced startup environment. In this role, you will research, develop, and maintain scalable computer vision and machine learning solutions that analyze video feeds from online sessions, detecting anomalies and enhancing user experience. Required Skills & Qualifications BS/MS in Computer Science or equivalent, with 3+ years of industry and/or research experience in AI, Computer Vision, Machine Learning, Image Processing, or Computer Graphics. Proficient in C/C++ and Python, with solid experience working in a Linux environment. Hands-on experience with libraries and frameworks such as OpenCV, NumPy, SciPy, Scikit-learn, etc. Ability to clearly communicate complex technical concepts to both technical and non-technical audiences. Familiarity with Git version control. Highly Desirable Expertise in image classification, segmentation, and autonomous feature learning. Strong foundation in linear algebra, optimization techniques, probability, and statistics. Experience in software architecture, API design, and seamless system integration. Background in parallel programming techniques. Practical experience with vision applications in real-world projects. Join us to innovate in the field of computer vision and help shape the future of intelligent video analysis. Apply today to be part of our dynamic team!

Job Overview: We are seeking a Computer Vision Engineer with 3+ years of experience to join our driven startup team. The ideal candidate will be responsible for researching, developing, and maintaining scalable computer vision (CV) and machine learning (ML) technologies that analyze video feeds from users participating in online sessions and detect related anomalies. If you're passionate about CV and ML technologies, and thrive in an innovative and fast-paced environment, we'd love to have you on our team. Required Skills: Education & Experience: BS/MS in Computer Science, or 3+ years of industry and/or research experience in a relevant field. Specializations: Expertise in Artificial Intelligence, Computer Vision, Machine Learning, Image Processing, and/or Computer Graphics. Programming Skills: Proficiency in developing in C/C++ and Python, with significant experience working in a Linux environment. Libraries & Tools: Hands-on experience with OpenCV, Numpy, SciPy, Sklearn, and similar libraries. Communication: Ability to clearly and concisely communicate complex technical information to both technical and non-technical teams. Version Control: Familiarity with GIT for version control. Highly Desirable: Expertise: Specialized knowledge in image classification, segmentation, and autonomous feature learning. Mathematical Foundation: Strong understanding of linear algebra, optimization, probability, and statistics. Software Architecture: Experience with software architecture and/or API design, with strong integration skills. Parallel Programming: Background in parallel programming to optimize computational processes. Vision Applications: Experience with vision applications and technologies used in the computer vision field. Position Details: This is a full-time, paid position, with a competitive salary and benefits package, commensurate with experience. If you're eager to contribute to innovative CV/ML solutions in a collaborative and fast-growing startup environment, we encourage you to apply. Qualification : BS/MS in Computer Science, or 3+ years of industry and/or research experience in a relevant field.