Top Machine Learning Jobs in India

Develop and deliver next-generation localization, mapping, perception, and autonomy capabilities for Spot. Research and integrate ML-based approaches, design experiments with simulated and real robot data, and produce performant C++ and Python code while shaping model, dataset, and pipeline strategy.

Build and maintain Python-based training and inference infrastructure, MLOps pipelines, data ingestion/versioning systems, and tools for performance optimization and on-robot/off-robot deployment. Drive CI/CD, testing, dashboards, and collaborate with central infrastructure to scale compute and reliability.

Seeking a Senior Machine Learning Engineer with expertise in multimodal generative AI, strong technical skills in AI models, and mentoring abilities.

Lead and grow an ML engineering team building content knowledge and discovery capabilities. Define ML roadmap, provide architecture and MLOps guidance, integrate generative AI and vision models, partner cross-functionally, and deliver scalable production ML solutions that improve search, recommendations, and ad experiences.

Design, build, and ship agent-driven chatbot and GenAI workflows; own features end-to-end from design to impact measurement; collaborate with product, ML, and engineering teams; use modern AI development tools and iterate to improve AI-assisted software.

The Senior Software Development Engineer L4 develops high-quality software by collaborating with teams, participating in design and code reviews, and ensuring compliance with security standards. Responsibilities include unit testing, debugging, and documentation, while promoting continuous improvement.

Design, build, and operate an LLM control plane/gateway and ML platform components to support multi-model LLMs and classical ML. Implement routing, observability, safety/PII controls, retrieval (graph+vector), training/scoring pipelines, drift monitoring, autoscaling, and developer-facing APIs/SDKs to enable safe, cost-efficient, multi-tenant AI features.

The Senior AI/ML Engineer will work on AI solutions, including Python development, Generative AI applications, and API integrations, while ensuring performance and scalability.

Lead development and deployment of advanced ML and generative AI solutions (LLMs and AI agents) to improve customer experience and personalization. Design, implement, and refine scalable, robust models, build evaluation frameworks for generative tasks, and collaborate cross-functionally to integrate ML into products and platforms.

Design and develop AI-driven full stack solutions using Java, Spring Boot, and Angular. Collaborate with teams on features and model building.

As a Sr. ML Engineer, you'll design, build, and deploy ML solutions for various industries, leading the full ML lifecycle and collaborating with clients.

Design and implement AI and machine learning models, optimize systems, collaborate with teams, and analyze results to enhance performance.

Senior AI/ML (Data) Engineer responsible for statistical analysis, building and validating ML models, forecasting, and deploying models using MLOps tools. Works with probabilistic graphical models, monitoring frameworks, and modern ML frameworks to productionize and maintain agentic AI solutions.

Build and maintain ML models and services, ensuring performance, reliability, and compliance while collaborating with diverse teams to integrate and operationalize features.

Lead design and production of computer vision biometric systems (face detection, quality, attributes, recognition). Build/train models, implement fairness benchmarking, own end-to-end ML pipelines on AWS, optimize for low-latency inference, and mentor engineers.

The AI/ML Engineer will develop generative AI models, deploy ML models, write scalable code, and work with various AI technologies and frameworks.

Design, build, and productionize scalable AI/ML pipelines and models (including LLMs and Generative AI). Deploy and optimize models across cloud and edge, implement MLOps (CI/CD, versioning, monitoring), and collaborate with data scientists and engineering teams to deliver reliable, low-latency AI solutions.

Lead AI/ML projects, design scalable architectures, translate business needs into technical solutions, and ensure best practices in implementation.

As a Senior Machine Learning Ops Engineer, you will design and maintain scalable ML platforms, run A/B tests, and mentor team members.

The Senior Manager AI ML will define the strategic AI/ML roadmap, lead end-to-end system integration, and mentor teams to create innovative adaptive systems.

As a Staff Software Engineer, you will develop and scale ABBYY's AI platform, focusing on Kubernetes, DevOps, and MLOps while mentoring engineers and designing systems.

As an AI/ML Engineer, you will design and implement AI solutions, build APIs, work with data scientists, and maintain high code quality. You'll contribute to projects in computer vision and collaborate with teams to deliver innovative solutions.

As a Sr. AI/ML Engineer, you'll design and deploy AI models, build REST APIs, optimize databases, and mentor junior engineers, focusing on client needs and cloud deployment efficiency.

The Senior Machine Learning Engineer will design multi-agent AI systems, develop evaluation frameworks, and optimize data pipelines, focusing on generative AI and advanced NLP techniques.

The NPDE AI/ML Leader will define and implement strategic AI solutions to enhance product development in semiconductor processes, working closely with domain experts and managing software teams.