Top Machine Learning Jobs in India

Develop AI applications using GenAI models, build RAG pipelines, optimize AI systems, and integrate enterprise AI APIs. Requires hands-on experience with LLMs and strong Python skills.

Lead R&D and engineering of agentic AI systems, designing and prototyping autonomous agents, integrating LLMs and GenAI into scalable solutions, publishing research, mentoring teams, and supporting client engagements with advanced AI consulting.

The AI/ML Engineer will develop applications using AI tools and cloud services, focusing on system design and implementation, mainly using LLMs and agent frameworks.

Lead R&D and engineering of agentic AI and autonomous agents, design and prototype real-world solutions, integrate LLMs and GenAI into production systems, collaborate across teams, publish research, mentor researchers and engineers, and support complex client engagements with advanced AI expertise.

Lead R&D and design of agentic AI and autonomous agents; prototype and integrate agentic capabilities into scalable systems; collaborate with Responsible AI, delivery, and research partners; publish research; mentor researchers and engineers; support client engagements with advanced AI solutions.

Develop systems utilizing AI technologies, integrating LLMs and vector databases while building efficient pipelines and deploying AI solutions in production environments.

Develop AI applications and systems, focusing on agentic and LLM-powered solutions, building pipelines and integrating models into production. Requires hands-on experience with machine learning and AI tools.

Lead R&D and engineering to design, prototype, and integrate agentic AI and autonomous agents using LLMs, reinforcement learning, and MLOps. Mentor teams, publish research, and support client solutioning and delivery across industries.

Lead R&D and engineering to design, prototype, and deploy agentic AI and autonomous agents. Integrate LLMs and GenAI into scalable production systems, mentor teams, publish research, and support client solutioning with MLOps and cloud AI pipelines.

Develop applications utilizing AI and ML, focusing on system design and implementation, pipeline integration, and model deployment in a production environment.

The role involves designing, building, and deploying AI systems, including agentic models and RAG pipelines, using various technologies and cloud platforms.

Develop applications utilizing AI tools and Cloud AI services, focusing on creating agentic AI systems, RAG pipelines, and deploying AI models. Responsible for evaluating and integrating AI solutions into production environments.

Develop AI systems utilizing LLMs and agent frameworks, design RAG pipelines, integrate AI tools and monitor production-grade applications.

The role involves designing, building, and deploying AI & ML systems, including LLMs and RAG pipelines, while ensuring production readiness and integrating diverse AI components.

Develop applications and systems utilizing AI tools, focusing on LLM-powered solutions, RAG pipelines, and agentic systems with robust evaluation frameworks.

Develop and deploy AI/ML applications utilizing tools and cloud AI services, focusing on end-to-end AI systems including deep learning and neural networks.

Develop AI applications and systems utilizing AI tools and Cloud services. Responsibilities include system design, RAG pipelines, model integration, and performance monitoring.

Seeking an AI/ML Engineer to develop systems utilizing AI tools, focusing on LLMs, building pipelines, integrating databases, and deploying services.

Develop AI applications and systems utilizing machine learning and AI tools, with a focus on agentic systems, RAG pipelines, and deployment in cloud environments. Requires extensive experience in AI/ML engineering, model integration, and AI operations.

Develop applications leveraging AI and ML, focusing on system design, agentic AI, end-to-end integration, and production readiness, collaborating closely with cross-functional teams.

Develop and deploy AI and ML systems, create RAG pipelines, optimize retrieval quality, integrate AI APIs, and build monitoring systems. Rapidly prototype and iterate AI solutions leveraging cross-functional collaboration.

Lead R&D and engineering for agentic AI: design and prototype autonomous agents, integrate LLMs and GenAI into production pipelines, collaborate with cross-functional teams, publish research, mentor researchers/engineers, and support client solutioning and delivery.

Lead R&D and engineering of agentic AI systems—designing autonomous agents, planning, memory, tool use, and LLM integration. Prototype production-ready solutions, collaborate with cross-functional teams, publish research, grow AI talent, mentor researchers/engineers, and support complex client engagements.

Lead R&D and engineering of agentic AI and autonomous agents, design and prototype real-world agentic solutions, integrate LLMs and GenAI into production pipelines, collaborate with cross-functional teams, publish research, mentor researchers and engineers, and support client engagements with advanced AI consulting.

The AI / ML Engineer develops applications utilizing AI tools and cloud services, applying generative AI and deep learning techniques for innovative solutions while mentoring junior team members.