Machine Engineering Jobs in Bengaluru

Lead Machine Learning Engineer Location: Bangalore | Employment Type: Full-time About the Role We are seeking a talented and driven Lead Machine Learning Engineer to join Avaamo s Product Engineering team. In this role, you will have the opportunity to shape and enhance the core features of our search technology stack, focusing on areas like search ranking models, query understanding, and natural language question answering. What You ll Do Innovate and expand the capabilities of our search stack, including ranking models, query parsing, and NLP-driven question answering. Gain a deep understanding of search usage patterns and user needs, identifying areas for improvement and growth. Design, prototype, and iterate on cutting-edge ML/NLP/Information Retrieval solutions to enhance our search functionality. Develop and optimize an experimentation framework to evaluate and track improvements to the search stack. Write clean, efficient, and maintainable code that is easy to test and scale. Mentor junior engineers, fostering a collaborative learning environment and sharing your expertise. What You Bring (Qualifications) A BS in Computer Science or a related field. 5+ years of hands-on experience in machine learning, NLP, or related fields. Strong analytical and data-driven mindset, with the ability to extract insights and build effective solutions. Experience in recommendation systems, natural language processing, LLMs, applied machine learning, or large-scale search/ranking systems. Key Skills & Qualities Collaborative, customer-focused, and team-oriented, with a willingness to contribute across multiple areas of the product. Proactive, positive, and self-driven, with the ability to take ownership of both small tasks and large features. Proven experience in designing and building complex search/ranking/recommendation systems. Strong proficiency in Python programming. About Avaamo Avaamo is a deep-learning software company that focuses on creating advanced conversational interfaces to solve high-impact problems in the enterprise space. We are at the forefront of AI technologies, working on neural networks, speech synthesis, and deep learning to transform how enterprises engage with conversational computing. Qualification : BS in Computer Science or a related field

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Data Engineer Location: Bangalore Company: Capital One India About Capital One At Capital One, we're redefining how technology solves real-world financial challenges. As a technology-driven company, we bring together talented engineers, data scientists, and designers to innovate at scale and deliver meaningful impact to millions of customers. If you're passionate about building powerful data solutions, exploring cutting-edge technologies, and working in a collaborative, fast-paced environment this is the place for you. About the Role As a Data Engineer at Capital One, you ll join a team of innovators who design and build next-generation data platforms and pipelines that power real-time decision-making. You ll collaborate across disciplines engineering, product, machine learning, and cloud infrastructure to transform how we leverage data at scale. What You ll Do Collaborate across Agile teams to design, develop, test, and deploy data-driven solutions. Build and support scalable data pipelines using modern data engineering tools and cloud services. Work on real-time and batch data processing systems that integrate with distributed microservices and ML platforms. Use programming languages such as Python, Java, or Scala with SQL, NoSQL, and cloud data warehouses like Redshift or Snowflake. Contribute to code reviews, unit testing, and performance optimization to ensure high-quality data systems. Partner with product managers and platform teams to deliver robust, cloud-native data solutions that power business decisions. Stay ahead of tech trends, share knowledge, and mentor junior engineers. Basic Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. 1.5+ years of hands-on experience in application or data engineering (excluding internships). At least 1 year of experience working with big data technologies. Preferred Qualifications 3+ years of application/data engineering experience using Python, Scala, Java, or SQL. 1+ year of experience with cloud platforms (AWS, Azure, or GCP). 2+ years of experience with distributed computing tools (Spark, Hadoop, Hive, EMR, Kafka, etc.). 1+ year working on real-time streaming applications. 1+ year of experience with NoSQL databases (MongoDB, Cassandra). 1+ year of experience with data warehousing (Redshift, Snowflake). 2+ years working with Linux/Unix systems and shell scripting. Familiarity with Agile methodologies and modern DevOps practices. Why Join Capital One Work on high-impact data solutions at one of the world s most innovative financial institutions. Be part of a collaborative tech culture that values experimentation and learning. Access to top-tier tools, mentorship, and career development opportunities. Competitive compensation and benefits in a mission-driven environment. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Application Engineer Grinding Machines Location: Bangalore Employment Type: Full Time Experience Required: 5+ Years About Us Phillips Machine Tools is India s leading machine tool solution provider, offering cutting-edge technologies, automation systems, and engineering services to a wide range of industries. As we continue to grow, we are looking for a highly skilled Application Engineer Grinding Machines to join our expanding Applications Team. Role Overview In this role, you will leverage your expertise in grinding technologies to deliver advanced technical solutions, optimize manufacturing processes, and provide training and post-installation support to customers. You will play a critical role in ensuring high-precision machining and customer satisfaction. Key Responsibilities Apply hands-on expertise in Surface, Cylindrical, Centerless, and Tool & Cutter Grinding machines. Program, set up, and optimize CNC grinding machines for precision, productivity, and repeatability. Analyze customer component drawings to recommend appropriate machines, tools, and grinding processes. Conduct component prove-outs and validation on recommended machines. Deliver technical training for customers and internal teams on grinding operations, programming, and maintenance. Diagnose and resolve application and accuracy-related issues across grinding platforms. Collaborate with sales and service teams to support both pre-sales assessments and post-sales execution. Travel extensively for customer site visits, installations, and technical support. Candidate Profile Diploma/Degree in Mechanical or Production Engineering (or equivalent). Minimum 5 years of hands-on experience with grinding machine operations and applications. Strong working knowledge of CNC programming (Siemens, Fanuc, etc.). Proficient in reading and interpreting complex engineering drawings and specifications. Excellent communication, analytical, and troubleshooting skills. Open to frequent travel across India for on-site customer support. Collaborate with top global machine tool brands. Learn from and work alongside industry-leading experts. Thrive in a dynamic, high-growth environment with continuous learning. Enjoy competitive compensation, travel perks, and growth opportunities. Qualification : Diploma/Degree in Mechanical or Production Engineering (or equivalent)

Job Title: Senior Data Business Partner Location: Bengaluru Department: Data & Analytics Experience: Senior-level Company: OSB India (Offshore subsidiary of OSB Group) About OSB India: OSB India (OSBI) is a wholly owned offshore subsidiary of OSB Group, a leading UK financial services provider. Established in 2004, OSBI delivers exceptional customer support and operational services to the Group s UK brands. Known for driving process excellence, innovation, and functional efficiencies, OSBI is a key strategic arm supporting the Group s long-term goals. Role Overview: We are looking for a Senior Data Business Partner to bridge the gap between business and data analytics. In this role, you will collaborate with business leaders to identify analytical needs, design data-driven solutions, and drive adoption of data across the organization. This is a high-impact role requiring strong analytical acumen, stakeholder management skills, and a passion for delivering insights that support strategic decision-making. Key Responsibilities: Build trusted relationships with business stakeholders to understand their data needs and priorities. Collaborate cross-functionally to translate complex business challenges into data solutions. Lead in-depth analysis using market-standard algorithms and modelling techniques. Ensure adherence to Data Governance standards, policies, and controls. Deliver timely, accurate, and well-documented data content and insights. Advise on analytics delivery planning across projects and business functions. Enable self-service analytics by training business users on available tools and platforms. Advocate and implement innovations in AI, Machine Learning, and data analytics. Partner with Data Engineering and Architecture teams, ensuring adherence to technical standards and best practices. Present findings and strategic insights to senior management and governance forums. Mentor team members on analytical approaches and best practices. Promote a culture of continuous improvement, innovation, and high-quality data usage. Champion the use of central data repositories, relational models, and the Data Warehouse to deliver consistent and reliable BI outputs. Identify risks related to data or projects and escalate when necessary. Support internal training efforts to improve data literacy across departments. Ensure compliance with Risk Management and Data Governance policies. Stay current on industry trends, tools, and technologies to enhance analytics capability. Candidate Profile: Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field. Certifications in data analytics, data science, or relevant tools/platforms are a plus. Experience: 6+ years in a business-facing data analytics role, ideally within financial services or technology. Strong experience in data analysis, modelling, and data storytelling. Proven ability to work with senior business stakeholders and executive teams. Experience in mentoring and leading analytics professionals. Demonstrated expertise in translating business needs into actionable insights. Technical Skills: Proficiency in tools such as Power BI, Tableau, SQL, Python/R, or Excel for data analysis. Familiarity with data warehousing, ETL processes, and relational databases. Understanding of data governance, risk, and compliance frameworks. Exposure to AI/ML applications in business contexts is a strong advantage. Behavioral Competencies: Excellent communication and presentation skills. Strong business acumen with the ability to drive value from data. Strategic thinking with a problem-solving mindset. Collaborative, adaptable, and proactive. At OSBI, we believe in empowering individuals to grow both personally and professionally. Whether you re early in your career or a seasoned expert, we provide an inclusive and supportive environment to help you thrive. Be a part of a connected organization where your contributions make a difference and your career is a journey, not a destination. Qualification : Bachelors or Masters degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field

Position: Production Engineer Department: Production Location: Bengaluru Role Overview: We are seeking a skilled Production Engineer to manage and optimize the operation of press machines within our production facility. The ideal candidate will ensure smooth, efficient production processes by maintaining equipment, troubleshooting issues, and driving continuous improvement in machine performance and product quality. Key Responsibilities: Oversee the day-to-day operation of press machines, ensuring they run efficiently and meet production targets. Perform routine preventive maintenance to keep press equipment in peak operating condition. Troubleshoot and resolve mechanical, electrical, or operational problems promptly to minimize production downtime. Calibrate and adjust machinery to maintain adherence to quality standards and product specifications. Analyze production data to identify opportunities for enhancing press performance, reducing cycle times, and improving product quality. Respond quickly to mechanical and electrical faults, implementing effective corrective measures. Qualifications & Skills: Bachelor s degree (B.E/B.Tech) in Mechanical Engineering or a relevant diploma. Practical experience in machine operation, maintenance, and troubleshooting in a manufacturing environment. Strong problem-solving skills with the ability to diagnose and fix mechanical and electrical issues efficiently. Knowledge of quality standards and machine calibration techniques. Qualification : Bachelors degree (B.E/B.Tech) in Mechanical Engineering or a relevant diploma.

Engineering Leader - Machine Learning Location: Bangalore, Karnataka, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re revolutionizing the future of employment by leveraging artificial intelligence to connect individuals to the right career opportunities based on their skills, not just their network. Our AI-powered Talent Intelligence Platform is transforming how organizations plan, hire, develop, and retain a diverse workforce. With $410M+ in funding and a $2B+ valuation, we re growing rapidly, and if you're passionate about solving one of society's most critical challenges employment then Eightfold is the place for you. Led by visionary leaders like Ashutosh Garg (former Google Search and Personalization leader) and Varun Kacholia (former Facebook and Youtube leader), we are shaping the future of AI-powered talent management. About the AI Platform Team Our AI/ML team is the heart of Eightfold, pushing the boundaries of applied machine learning. We re working with massive datasets, solving complex problems, and building cutting-edge AI models that are reshaping how companies approach talent management. Join us if you re eager to work in a team where every day presents a new challenge and opportunity. What You ll Do As the Engineering Leader - Machine Learning, you ll be responsible for leading and mentoring a high-performing team of engineers, driving the success of AI-driven products at Eightfold. Your primary responsibilities will include: Team Leadership: Coach, mentor, and manage a talented team of engineers to foster a culture of innovation, collaboration, and high performance. ML Model Ownership: Lead the development and deployment of cutting-edge deep learning models across all Eightfold products, ensuring reliability, scalability, and high-quality performance. Platform Development: Help build high-performance, flexible infrastructure that supports a variety of deep learning techniques and modeling approaches. End-to-End ML Pipeline: Oversee the end-to-end process of building and deploying machine learning models, including creating robust data pipelines that can process unstructured data. ML Framework Implementation: Design and implement an intuitive ML development framework that ensures efficiency and ease of use for data scientists and engineers. Model Fairness: Work with our internal model fairness platform to ensure that we are providing equal opportunity for everyone through responsible ML practices. Cross-Team Collaboration: Work closely with product teams to apply deep learning techniques to solve complex business problems across various domains. What You Should Already Know To be successful in this role, you should have: Strong Foundation in ML & Deep Learning: Expertise in applying Natural Language Processing (NLP) and deep learning solutions to solve real-world problems. Experience with Language Models: Familiarity with advanced language models such as BERT, GPT-3, T5, and others. Academic Background: A BS, MS, or PhD in Computer Science, Data Science, Mathematics, or related fields. Proven ML Experience: Hands-on experience building and deploying machine learning models at scale, particularly in production environments. Programming Expertise: Strong knowledge of ML languages such as Python, C++, Java, R, Scala, and experience with scientific libraries like numpy, pandas, and frameworks like TensorFlow, PyTorch, scikit-learn, etc. Strong ML Theory Knowledge: In-depth understanding of ML theory and experience working with large-scale datasets, data ingestion, and processing systems. Experience with Distributed Systems: Familiarity with distributed systems, including REST APIs, microservices, and data processing frameworks. Metrics-Focused: A passion for building high-quality models that deliver results and metrics-driven outcomes. Nice to Have Real-Time Tech Problems: Experience with real-time processing or low-latency systems. Cloud Environments: Familiarity with cloud platforms like AWS, and experience using cloud-based ML tools. MLOps Tools & Pipelines: Experience with MLflow, Metaflow, or similar tools to streamline ML workflows and operations. Advanced Tech Stack: Familiarity with tools like Spark, MLlib, Databricks, Apache Airflow, etc. Impactful Work: Join a company dedicated to solving one of society's most pressing issues employment. Your work will have a direct impact on individuals' careers around the world. Innovation at Scale: Work with cutting-edge AI and ML technologies to shape the future of talent management. Competitive Compensation: Receive an attractive salary, equity, and comprehensive benefits package (including family medical, vision, and dental coverage). Collaborative Environment: Work in a culture that values transparency, ownership, and collaboration across teams. Hybrid Work Model: Enjoy a hybrid work environment, with flexibility for remote work and in-office collaboration at our Bangalore office. Growth Opportunities: Be part of a rapidly scaling company with vast opportunities for career development and leadership roles. Equal Opportunity Employer Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. If you are an experienced and visionary leader in Machine Learning, eager to make a lasting impact while solving one of society's most important challenges, we would love to hear from you. Qualification : BS or MS or PhD degree in Computer Science, Data Science or Mathematics

Engineering Manager Data Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, we power millions of orders daily with zero downtime thanks to our cutting-edge data and backend systems. Our engineering culture is built on speed, ownership, and a growth mindset. We embrace failures as learning opportunities and foster a 'Founder s Mindset' across all engineering teams. We're passionate technologists, team players, and storytellers just as comfortable building robust data platforms as we are bonding over books, games, or chai. If you're ready to lead a team building high-impact, real-time data systems that touch millions of users, come join us. About the Role We are seeking an experienced Engineering Manager Data to lead our data engineering initiatives. You ll be responsible for building scalable data platforms, managing distributed systems, and ensuring data accuracy, accessibility, and real-time analytics capabilities. This role combines technical depth, strategic thinking, and team leadership to build next-gen data systems powering Meesho s mission. What You Will Do Design and allocate technical tasks based on Meesho s data engineering standards and architecture. Lead and mentor a team of data engineers; conduct regular performance reviews and provide growth feedback. Oversee development of scalable, distributed data systems across streaming and batch pipelines. Collaborate with Product, Design, and Sales teams to create innovative data-driven products and features. Monitor project progress, drive sprint planning, and report on key metrics using OKRs. Promote engineering best practices, data quality standards, and cloud-native development. What You Will Need Bachelor s or Master s in Computer Science or a related field. 8+ years of overall experience, with 4+ years managing software/data engineering teams. Hands-on expertise in Java, Python, or Go and multithreading. Experience with distributed data systems, including Apache Spark, Kafka, and streaming architectures. Deep understanding of relational and NoSQL databases. Proficient in cloud platforms (preferably AWS) and containerized deployments. Experience in data modeling, pipeline architecture, and data quality frameworks. Familiarity with BI tools like Tableau, Metabase, or Superset. Good to have: Knowledge of Trino, Flink, Presto, Druid, Pinot, and real-time analytics platforms. Strong project and stakeholder management; ability to lead cross-functional teams. About Us Meesho is India s fastest-growing e-commerce platform on a mission to democratize internet commerce for every Indian. With 1.75M+ sellers and millions of active customers, we offer zero commission, the lowest shipping costs, and unparalleled reach across every serviceable pincode in India. We're building Meesho to be Meri Shop for the next billion users empowering small businesses and first-time entrepreneurs to sell and thrive online. Our Culture & Total Rewards Our culture is rooted in impact, innovation, and inclusivity. Guided by 11 core principles or "Mantras", we empower our teams to think big, move fast, and grow constantly. Daily rituals like Reflections and Listen or Die ensure everyone has a voice and a growth path. What We Offer: Competitive Compensation including salary, performance bonuses, and equity. Wellness & Insurance via our MeeCare program, with extensive coverage for employees and families, plus mental health and wellness initiatives. Work-Life Balance with flexible work hours, generous leave policies, and parental support. Learning & Development with courses, mentorship, and career mobility through our Internal Mobility Program. Perks & Benefits including salary advances, relocation support, recreational discounts, and employee gifts. Join us to lead the data transformation at Meesho and help shape the future of commerce for India s next billion users. Apply now to make your mark! Qualification : Bachelors or Masters in Computer Science or a related field.

Software Engineering Manager, Machine Learning Location: Bangalore, India Full Time Company: Meta Meta s Enterprise Product Applied Research team is at the forefront of developing transformative AI-driven products. We leverage cutting-edge AI technology to make Metamates more productive, improve the quality of their work, and challenge the limits of what AI can do. As a Software Engineering Manager in this team, you will help shape the future of Meta s enterprise operations, build innovative machine learning systems, and manage a team of talented engineers to deliver on high-impact projects. Key Responsibilities: Lead multiple teams to deliver projects with increasing dependencies in high-impact or ambiguous areas. Work with your team and cross-functional partners to define and influence strategy. Drive the creation and execution of roadmaps for machine learning products. Collaborate with various functions, engineering teams, and partners to drive initiatives and impact at an organizational level. Participate in technical design and ensure high standards for system architecture and implementation. Measure the impact of your team, set clear expectations, and drive performance through effective people management. Partner with leadership to influence organization design, prioritization, and resource allocation. Minimum Qualifications: 5+ years of software engineering experience, with hands-on technical management in large-scale systems, algorithms, and tools within the machine learning domain. 5+ years of coding experience in one of the following languages: C++, Java, Python, or PHP. BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree. Demonstrated experience recruiting and managing technical teams, including performance management. Strong technical skills combined with effective people management abilities. Experience supporting and scaling machine learning teams and systems. Subject matter expertise in machine learning technologies and practices. Commitment to staying in the same team in India for a minimum of 24 months before being eligible for transfer. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we ve revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, have empowered billions worldwide. Now, we are moving beyond 2D screens toward immersive experiences in augmented and virtual reality, creating the next evolution in social technology. At Meta, you will help shape a future where digital connection transcends the limitations of screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree.

Software Engineer III - Machine Learning, Google One Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Experience with Data Analytics, Privacy Data Handling, Privacy Design Document, and Mathematical Optimization. Understanding of Machine Learning (ML). Excellent software engineering and problem-solving skills through programming. Excellent communications skills. About the Job Google software engineers create next-generation technologies that transform how billions of users connect, explore, and interact with information. Our products must scale to handle vast amounts of data, and our work extends far beyond web search. We are looking for engineers with fresh ideas from a variety of areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile technologies. As a Software Engineer at Google, you will work on projects that are critical to Google s needs, with opportunities to switch teams and projects as our fast-paced business grows. We need engineers who are versatile, show leadership qualities, and are enthusiastic about taking on new problems across the full-stack to push technology forward. Google One (G1) is Google s membership service rooted in storage, offering access to premium features. Our team works across multiple product areas to personalize user experiences through Machine Learning. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments such as desktop, mobile, and applications. These products provide enterprises, and ultimately end users, the ability to utilize and manage services at scale. We build innovative software products from apps to TVs, from laptops to phones that impact people s lives globally. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

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.

AI/ML Engineer - Bengaluru, India Experience: 4 to 6 years About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in technology services and consulting. Operating in 65 countries with over 230,000 employees, Wipro helps organizations achieve digital transformation through innovative, future-ready solutions. Role Overview We are hiring an experienced AI/ML Engineer to work on advanced machine learning and Generative AI solutions. You will design prompt engineering pipelines, develop ML models using frameworks like TensorFlow and PyTorch, and deliver scalable backend services using Python and Django. Key Responsibilities Design and implement GenAI-based use cases using prompt engineering techniques Build REST APIs and scalable microservices using Python and Django Evaluate GenAI model performance and implement guardrails Deploy applications to Azure or AWS cloud environments Lead prompt lifecycle management including tuning, templating, and optimization Ensure integration with databases and external APIs Use CI/CD tools for continuous deployment (Azure DevOps, Jenkins, Ansible, Terraform) Mandatory Skills Python, Django, REGEX AI/ML, Deep Learning, NLP TensorFlow, PyTorch Generative AI, LLMs, RAG Pipelines REST API development Preferred Skills API Gateways: WSO2, KONG, nginx Apache HTTP Server Azure DevOps, Ansible, Jenkins, Terraform Databricks Additional Requirements Understanding of OOP, design patterns, and scalable architecture Familiarity with Docker and version control tools like GitHub or Bitbucket Team leadership in prompt engineering and stakeholder engagement Knowledge of secure prompt design to mitigate injection or leakage risks Join a forward-thinking digital transformation company where your ideas shape the future. We value diversity, innovation, and continuous learning. Applications from individuals with disabilities are highly encouraged.

Job Title: Cloud-Based AI Developer - Advanced Analytics Group (AAG) Company: Bain & Company Job Type: Full-Time Employment Type: Permanent 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. Diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, creating an environment where you can thrive both professionally and personally. We are publicly recognized for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With: As a member of Bain s Advanced Analytics Group (AAG), you will work alongside generalist consultants to help clients across industries solve their biggest problems using expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics, and data engineering. AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in tech, data science, marketing analytics, and academia. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply. What You ll Do: As a member of the AAG, you will be responsible for designing, developing, and maintaining cloud-based AI applications that provide high-quality, scalable, and secure solutions for our clients. Your work will encompass the full stack, from API design to deployment, delivering analytics solutions across various sectors. Cloud-Based AI Development: Design, develop, and maintain cloud-based AI applications, ensuring scalability and security, leveraging full-stack technology solutions. Cross-Functional Collaboration: Work with product managers, data scientists, and other engineers to define and implement analytics features that meet business requirements. Cloud and Containerization: Use Kubernetes and containerization technologies to deploy, manage, and scale applications in cloud environments for optimal performance. API & Microservices Development: Develop and maintain APIs and microservices to expose analytics functionality, adhering to industry best practices for design and documentation. Security and Compliance: Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations. Troubleshooting and Performance Monitoring: Continuously monitor and troubleshoot application performance, resolving issues impacting system reliability and user experience. Code Reviews and Best Practices: Participate in code reviews and contribute to the establishment of coding standards to ensure high-quality, maintainable code. Emerging Trends and Technologies: Stay current with emerging trends in cloud computing, data analytics, and software engineering to enhance the platform s capabilities. Collaboration with DevOps: Work with DevOps and infrastructure teams to automate deployment and release processes, optimizing the development workflow. Client Collaboration: Collaborate closely with business consulting teams to assess opportunities and develop analytics solutions across sectors. Education and Influence: Influence and educate clients on analytics application engineering capabilities, supporting their teams directly. Travel: Expect occasional travel (30%) for project work. About You: Required Qualifications: Education: Master s degree in Computer Science, Engineering, or a related technical field. Experience: 3+ years of experience at Senior or Staff level, or equivalent. Expertise in client-side technologies such as React, Angular, Vue.js, HTML, and CSS. Experience with server-side technologies such as Django, Flask, and Fast API. Proficiency with cloud platforms (AWS, Azure, GCP) and Terraform automation (good to have). 3+ years of expertise in Python. Experience using Git for version control and collaboration. Familiarity with DevOps, CI/CD, and tools like GitHub Actions. Demonstrated interest in LLMs, prompt engineering, and Langchain. Experience with workflow orchestration tools such as dbt, Beam, Airflow, Luigi, Metaflow, Kubeflow, or similar. Experience in the implementation of large-scale structured or unstructured databases, as well as containerization technologies like Docker and Kubernetes. Skills and Knowledge: Strong interpersonal and communication skills to explain complex engineering topics to colleagues and clients from various disciplines. Curiosity, proactivity, and critical thinking. Solid computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and software architecture. Expertise in designing API interfaces and knowledge of data architecture and database schema design. Familiarity with agile development methodologies. Join Bain & Company: Become a part of a forward-thinking team committed to solving complex problems, building innovative solutions, and delivering impactful data analytics and AI solutions. Collaborate with talented professionals and gain valuable experience that shapes the future of data analytics and AI. Qualification : Masters degree in Computer Science, Engineering, or a related technical field.

Senior Data Scientist Experience: 1-4 Years | Location: Bengaluru About Gameskraft: Founded in 2017, Gameskraft has rapidly become one of India s fastest-growing online gaming companies. Our mission is to build a safe, secure, and responsible gaming ecosystem while delivering unmatched experiences through cutting-edge technology and design. We are the only gaming company in the industry with ISO 27001 and ISO 9001 certifications. About the Role: As a Senior Data Scientist, you will play a key role in driving data-driven decision-making by developing and implementing advanced analytics and machine learning solutions. You will work on high-impact projects across different business units, collaborating with stakeholders to optimize business performance and user experience. Key Responsibilities: Data Strategy & Governance: Develop and execute a data strategy aligned with business goals. Identify and prioritize high-value data science opportunities. Ensure data accuracy, integrity, and governance by working with data engineering teams. Advanced Analytics & Machine Learning: Design, develop, and deploy machine learning models for regression, classification, clustering, and time-series forecasting. Stay updated with state-of-the-art algorithms and implement innovative solutions. Optimize data pipelines and model performance for scalable deployment. Collaboration & Innovation: Work closely with business leaders, product teams, and IT to integrate data science solutions into business processes. Foster a culture of innovation by exploring emerging technologies and methodologies. Translate complex technical concepts into actionable business insights for non-technical stakeholders. Performance Monitoring & Reporting: Define and track KPIs to measure the impact of data science initiatives. Continuously optimize models for improved accuracy and efficiency. Present insights and recommendations to senior management. What You Bring to the Table: Education: Master s or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field. Experience: 2-4 years of hands-on experience in building and deploying data science solutions. Proven expertise in machine learning, statistical modeling, and analytics. Experience working with large-scale datasets and high-performance computing frameworks. Technical Skills: Proficiency in Python and libraries like scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy, Matplotlib. Experience with Big Data technologies (Hadoop, Spark, distributed computing frameworks). Familiarity with Cloud Platforms (AWS, Azure, GCP) and services like S3, Redshift, Databricks. Deep learning expertise is a plus. Soft Skills & Leadership: Strong communication and stakeholder management skills. Ability to simplify complex data science concepts for non-technical audiences. A proactive problem-solver and team player. Why Join Us? Work on cutting-edge AI & ML projects in one of India s fastest-growing tech companies. Collaborate with top industry leaders and work in a fast-paced, dynamic environment. Competitive compensation and growth opportunities. A diverse, inclusive, and innovation-driven work culture. If you re passionate about AI, Data Science, and driving real-world impact, we d love to hear from you! Qualification : Masters or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field.

About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.

About DevRev DevRev s AgentOS is a purpose-built CRM platform for SaaS companies, integrating three modern apps for support, product, and growth teams. By converging six teams and replacing nine business apps, we streamline workflows for end users, sellers, support, product teams, and developers. Unlike traditional CRMs, DevRev offers a blank canvas approach to collaboration, AI-driven analytics, and automation, helping SaaS companies increase product velocity and reduce customer churn. Thousands of companies rely on DevRev for low-latency analytics and customizable LLMs in the era of Generative AI. Headquartered in Palo Alto, California, with offices in seven global locations, DevRev has raised $100 million from Khosla Ventures and Mayfield, reaching a $1.1 billion valuation. Founded in 2020 by Dheeraj Pandey (co-founder and former CEO of Nutanix) and Manoj Agarwal (former SVP of Engineering at Nutanix), DevRev is honored to be named on Forbes 2024 list of America s Best Startup Employers. About the Role: Applied AI Engineer The Applied AI Engineering team plays a crucial role in ensuring customers maximize their DevRev experience. As businesses integrate DevRev into their enterprise systems, workflows, and automation, our team collaborates closely with customers to design, develop, and implement tailored AI-powered solutions. Your mission is to bridge the gap between customer needs and technical solutions, ensuring seamless adoption and delivering high-impact AI applications that enhance the DevRev platform. Responsibilities Design, develop, and implement integrations, automations, and customizations to integrate DevRev with customers existing tech stacks and workflows. Leverage AI and Generative AI techniques (e.g., prompt engineering, LLM fine-tuning) to create cutting-edge AI-powered agent experiences. Optimize semantic search engines for improved accuracy and relevance. Conduct data analysis, write SQL queries, and build dashboards to provide insights and inform business decisions. Act as a technical consultant, guiding customers through critical workflows, including integrations with code repositories and enterprise tools. Maintain proactive communication and feedback loops with key stakeholders, including Customers, Engineering, Product, Customer Success, Support, Revenue, and Marketing teams. Continuously learn new technologies and apply them to enhance customer solutions. Ideal Candidate Qualifications Degree in Software Engineering, Computer Science, or equivalent experience. 1-2+ years of hands-on coding experience with TypeScript, JavaScript, Python, APIs, Webhooks, and SQL. Familiarity with Generative AI, including GPT-4, prompt engineering, and fine-tuning. Knowledge of vector databases and data embeddings. Strong communication skills (written and verbal in English). Results-driven mindset, with a passion for problem-solving and innovation. Ability to work independently, take initiative, and drive projects to completion. DevRev Culture At DevRev, we are committed to hiring individuals who are hungry, humble, honest, and act with heart. Our vision is to help build the world s most customer-centric companies, and our mission is to empower engineers to embrace their customers through design, data engineering, and machine intelligence. We seek individuals who thrive in a fast-paced, high-energy environment and are passionate about pushing the boundaries of AI and automation. If you re excited about building AI-driven solutions, working with cutting-edge technologies, and shaping the future of SaaS and CRM, we d love to hear from you! Qualification : Degree in Software Engineering, Computer Science, or equivalent experience.

Applied AI Engineering Team: Solution Architect AgentOS Platform At DevRev, the Applied AI Engineering team plays a crucial role in ensuring that our customers derive the maximum value from our platform. As customers progress through their DevRev journey, they may identify opportunities to integrate with existing enterprise systems, automate workflows, or enhance DevRev's platform capabilities to achieve their business goals. Our team works closely with customers to understand their requirements, designing, developing, and implementing solutions that meet those objectives. Position Overview: We are seeking a highly skilled Architect to lead the design and implementation of custom solutions on our AgentOS platform. In this pivotal role, you will serve as a bridge between business requirements and technical solutions, utilizing your expertise to deliver scalable, robust, and high-performing applications. You will collaborate with cross-functional teams including engineering, product management, and customer stakeholders to ensure that our solutions meet customer needs and drive long-term business success. Key Responsibilities: Design and develop comprehensive technical solutions that align with customer requirements and business goals, ensuring seamless integration with the AgentOS platform. Work closely with customers and internal stakeholders to gather and understand their needs, offering expert guidance on solution feasibility and technical implementation. Lead the architecture and technical design for customer projects, ensuring that all solutions are scalable, robust, and adhere to industry best practices. Oversee the integration of solutions with customer systems and third-party services, ensuring optimal functionality and performance. Create and maintain detailed architectural documentation, including solution designs, system flow diagrams, and technical specifications. Collaborate with engineering teams to ensure the successful implementation of designs and provide guidance throughout the development lifecycle. Stay up to date with emerging technologies and industry trends, integrating relevant advancements into solutions to enhance their functionality and competitiveness. Support pre-sales and partner teams in defining technical requirements for new opportunities, providing input on solution feasibility and estimating project effort. Ensure that all solutions meet stringent quality standards, while adhering to security, compliance, and performance requirements. Qualifications: 8+ years of experience in solutions architecture or a similar role, with a proven track record of designing and implementing complex, scalable solutions. Expertise in Gen AI, cloud technologies, and integration patterns. Hands-on experience with TypeScript, JavaScript, Python, and relevant frameworks is required. Strong problem-solving skills, with the ability to analyze and address technical challenges effectively. Excellent interpersonal and communication skills, with the ability to convey complex technical concepts clearly to non-technical stakeholders and customers. Experience managing multiple projects and deliverables concurrently, with proficiency in project management methodologies and tools. A proven track record of delivering customer-focused solutions and providing exceptional customer service. Experience in SaaS, enterprise software, or platform-centric environments is highly preferred. A Bachelor s degree in Computer Science, Engineering, or a related field is required. An advanced degree or relevant certifications in technologies or architecture frameworks is a plus. Culture: At DevRev, our culture is rooted in the principles of hunger, humility, honesty, and heartfelt action. We are committed to helping build the world s most customer-centric companies by empowering engineers to better connect with their customers. Our mission is to leverage design, data engineering, and machine intelligence to enable our customers to thrive in an ever-evolving technological landscape. Qualification : A Bachelors degree in Computer Science, Engineering, or a related field is required. An advanced degree or relevant certifications in technologies or architecture frameworks is a plus.

Overview: As a Customer Education Specialist, you will be a key member of the Customer Success and Support team. In this role, you will be responsible for ensuring that our customers experience a seamless transition and derive maximum value from DevRev. You will design, implement, and lead customer education and enablement programs, deliver training, and administer certification/reward programs. Your objective is to drive scalable customer enablement, ensuring customer satisfaction and long-term loyalty. Key Responsibilities: Customer Onboarding: Develop and implement structured enablement programs for new customers, ensuring a smooth onboarding experience with DevRev. Collaborate with cross-functional teams to gather customer requirements and tailor enablement programs to meet specific needs. Training and Education: Design and deliver engaging training sessions, webinars, and workshops focused on product features, best practices, and industry-specific use cases. Create comprehensive training materials, documentation, and video tutorials to empower customers with self-service learning opportunities. Customer Engagement and Advocacy: Build strong, lasting relationships with customers, proactively engaging with them to understand their evolving needs and challenges. Identify opportunities for upselling or cross-selling additional products and services based on customer usage and feedback. Cultivate customer advocates by encouraging satisfied customers to contribute to case studies, testimonials, and referrals. Metrics and Reporting: Define, track, and report on key performance indicators (KPIs) related to customer enablement, satisfaction, and ROI. Analyze and provide actionable insights on customer engagement, training effectiveness, and support efficiency to continuously improve enablement programs. Qualifications: A Bachelor s degree in Business, Marketing, Computer Science, or a related field. 3-5 years of experience in customer education, enablement, or a related field, preferably within SaaS. Strong understanding of SaaS products, technology, and industry trends. Exceptional communication, presentation, and interpersonal skills, with the ability to engage with diverse customer audiences. Proven ability to collaborate effectively with cross-functional teams in a fast-paced, dynamic environment. Results-oriented with a focus on customer satisfaction, business growth, and scalable enablement. Willingness to travel domestically and internationally as required. Culture: At DevRev, our culture is built on a foundation of hunger, humility, honesty, and acting with heart. We are committed to helping build the world s most customer-centric companies by leveraging design, data engineering, and machine intelligence to empower engineers to connect with and better serve their customers. Qualification : A Bachelors degree in Business, Marketing, Computer Science, or a related field.

Overview: We are seeking an experienced Accounting Manager to oversee and manage all aspects of the accounting function, ensuring the accuracy, compliance, and efficiency of financial reporting and processes. You will play a pivotal role in maintaining financial integrity, supporting audits, and driving continuous improvements in accounting operations. As a key member of the finance team, you will collaborate with cross-functional teams to ensure alignment with corporate objectives and regulatory requirements. Key Responsibilities: Closing and Reviewing Books of Accounts: Oversee and manage the month-end and year-end financial close processes, ensuring accuracy and completeness of financial data. Review and reconcile general ledger accounts, sub-ledgers, and supporting documentation to ensure financial integrity. Prepare journal entries, adjustments, and ensure proper documentation and approvals for all financial transactions. Ensure compliance with accounting standards (GAAP/IFRS) and internal financial policies and procedures. Month-End Financial Reporting: Prepare and deliver accurate, timely month-end, quarter-end, and year-end financial reports to senior management. Analyze financial performance, identify variances, and provide actionable insights to improve financial performance. Ensure that all financial data is reported in compliance with corporate standards and reporting timelines. Assist in the preparation of management reports, KPI dashboards, and executive summaries for leadership. Audit Management: Lead and manage internal and external audits, acting as the key point of contact for auditors and facilitating a smooth audit process. Prepare audit schedules, reconciliations, and promptly respond to audit queries. Implement corrective actions based on audit recommendations and ensure continuous readiness for future audits. Maintain proper documentation and internal controls to support audit compliance. Compliance & Regulatory Adherence: Ensure adherence to local, regional, and international accounting regulations, including tax laws, statutory reporting, and corporate governance standards. Stay informed of regulatory changes and implement necessary updates to financial processes to remain compliant. Coordinate with external regulatory bodies and tax authorities as required to ensure compliance. Accounting Operations: Oversee day-to-day accounting functions, including accounts payable, accounts receivable, payroll, and expense management. Manage the handling of fixed assets, intercompany transactions, and financial consolidations. Ensure accurate and up-to-date financial records and documentation for all transactions. Process Improvement & Automation: Identify opportunities to streamline and improve accounting processes to enhance efficiency and reduce errors. Lead or contribute to finance-related projects aimed at enhancing financial systems and tools. Support the automation of manual accounting processes to improve data accuracy and operational efficiency. Cross-Functional Collaboration: Work closely with cross-functional teams to ensure alignment on financial processes and reporting. Support global finance initiatives by collaborating with international teams to standardize processes and reporting requirements. Financial Controls & Risk Management: Establish and maintain effective internal controls to safeguard the integrity of financial reporting. Identify potential financial risks and implement mitigation strategies to protect the company s financial assets. Assist in the development and implementation of risk management policies to ensure compliance and safeguard against financial risks. Qualifications: Strong knowledge of accounting standards (GAAP/IFRS), financial reporting, and compliance requirements. Proven experience in managing internal and external audits and ensuring adherence to regulatory compliance. Advanced proficiency in Microsoft Excel and other financial reporting tools. Strong analytical skills, attention to detail, and a proactive, solution-oriented approach to problem-solving. Culture: At DevRev, our culture is built upon the values of hunger, humility, honesty, and acting with heart. We are committed to helping build the world s most customer-centric companies, leveraging design, data engineering, and machine intelligence to empower engineers in better serving their customers.