Top Machine Learning Jobs in India

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.

Join eBay's Compliance Engineering team to develop AI/ML tools and scalable systems for compliance detection, integrating machine learning into applications and APIs.

The Senior AI/ML Engineer will drive innovation in conversational AI systems, developing scalable architectures, executing POCs, and collaborating with cross-functional teams to implement AI solutions.

Design, build, and deploy production AI/ML solutions on Snowflake and AWS. Develop LLM, NLP, and computer vision models, implement MLOps, integrate systems, follow governance (NIST, GDPR/CCPA), and collaborate with stakeholders to deliver measurable business value.

Lead initiatives to enhance the ML platform, mentor junior engineers, build scalable ML models, and ensure code quality while driving innovation in a startup environment.

The Machine Learning Engineer will develop and innovate ML models and their infrastructure, collaborate, mentor, and take ownership of impactful projects.

The AI/ML Engineer II role involves developing AI solutions, managing product backlogs, integrating LLMs, and collaborating on automation projects while leading improvements in IT processes.

Lead and execute platform strategy for data, AI/ML, and GenAI at Priceline, managing global teams to enhance data access and machine learning capabilities.

Lead design and development of AI solutions to solve complex problems, build data pipelines, mentor teams, and incorporate AI research into products.