Top Machine Learning Jobs in India

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 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.

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.

Develop AI/ML systems, implement LLMs, optimize pipelines, integrate vector databases, and deploy scalable solutions with monitoring and evaluation frameworks.

Develop AI applications using ML tools and cloud services, focusing on building agentic systems, RAG pipelines, and integrating AI APIs. Prototyping and system deployment are key responsibilities.

The AI / ML Engineer develops applications using AI tools and cloud services, focusing on production-ready solutions with deep learning and generative AI models, while mentoring a team and optimizing existing systems.

As an AI / ML Engineer, you will develop AI applications, focusing on generative models, deep learning, and cloud services, collaborating with teams to optimize solutions.

As an AI / ML Engineer, you will develop AI applications and systems, focusing on generative AI, deep learning, and neural networks. Responsibilities include collaborating with teams, providing solutions, and enhancing capabilities through knowledge sharing.

As an AI / ML Engineer, you will develop AI-driven applications and systems, focusing on production readiness and collaboration with teams to enhance AI solutions.

As an AI / ML Engineer, you will develop applications utilizing AI tools and cloud services, ensuring high-quality production-ready solutions while working with deep learning and data engineering.

The AI / ML Engineer develops applications and systems using AI tools and Cloud AI services, focusing on production-ready solutions. Responsibilities include collaborating with teams, mentoring juniors, and improving AI models.

The AI / ML Engineer will develop applications utilizing AI tools, ensuring production quality with generative AI, deep learning, and cloud services, while mentoring junior members.

Develop applications utilizing AI tools and cloud services, collaborate with teams for production-quality solutions, mentor juniors, and improve workflows.

Develop applications using AI tools, cloud services, and generative AI models. Collaborate across teams to ensure production-readiness and improve AI solutions.

As an AI / ML Engineer, you will develop applications using AI tools and cloud services, create production-ready solutions, and mentor junior members.

As an AI / ML Engineer, you'll develop applications using AI tools and cloud services, ensuring production-ready solutions while mentoring junior members and driving cross-team collaboration.

As an AI/ML Computational Science Specialist, you will analyze complex problems and create innovative solutions using AI and Machine Learning technologies, managing small teams and collaborating with various stakeholders.

As an AI/ML Engineer, you will develop systems leveraging AI tools and cloud services, focusing on generative AI models, deep learning, and NLP, while ensuring high-quality standards in production-ready applications.

As an AI / ML Engineer, you will develop applications leveraging AI tools and cloud services, creating production-ready pipelines and integrating generative AI models. Responsibilities include mentoring, collaborating across teams, and implementing best practices in machine learning operations.

The Custom Software Engineer will develop, configure, and maintain software systems, driving AI integration, leading technical discussions, and promoting engineering best practices.

Develop applications using AI tools and cloud services, focusing on creating production-ready systems that utilize generative AI and deep learning techniques.

As an AI / ML Engineer, you will design and implement AI applications and systems, utilizing AI tools and cloud services, ensuring high quality and performance optimization.