Machine Learning jobs in India

We are seeking a skilled Machine Learning Engineer responsible for building and scaling end-to-end data and ML pipelines that enable advanced analytics, automation, and GenAI use cases and implementing MLOps/GenAIOps practices for reliable model deployment and lifecycle management

The Staff Machine Learning Engineer will play a key role in building and owning the next-generation of algorithms and systems that would have critical business impact for the client and improve the user experience for our millions of users globally.

The Principal Data Scientist will design, build, and optimize advanced NLP, computer vision, and LLM‑powered systems that automate permitting and regulatory workflows for a leading GovTech platform. The role combines deep technical ownership with strategic leadership, driving AI innovation that directly shapes product direction and government efficiency at scale.

The Senior Data Scientist will own end‑to‑end development of machine learning models that power their cutting‑edge, human‑like voice AI used across major BFSI enterprises. The role involves building scalable NLP and speech intelligence systems, optimizing real-time conversational performance, and driving innovation in a fast‑paced, high‑ownership startup environment.

The Generative AI Research role in the Renewable sector focuses on advancing analytics capabilities within the Energy & Natural Resources industry. This position based in Pune requires expertise in applying AI solutions to drive innovation and efficiency.

We are seeking an experienced GenAI Lead with 8-10 years of proven expertise in Generative AI, Machine Learning, and AI-driven solution development. The ideal candidate will lead the design, development, and deployment of cutting-edge GenAI solutions, driving innovation and business transformation through AI technologies.

They are a revolutionary cloud-based legal platform designed exclusively for plaintiff personal injury law firms.

The Head Analytics & Data Science is responsible for defining and driving the end-to-end analytics and data science agenda for the Commercial Banking business. This leadership role owns business-critical analytics outcomes across credit, risk, growth, customer engagement, productivity, and portfolio management, ensuring that data-driven decisioning is embedded into core commercial banking processes at scale.

The Lead Data Scientist will lead the analytics department to drive data-driven decision-making and innovation within the organisation. This role requires expertise in data science, leadership, and a deep understanding of the technology and telecoms industry

We are seeking an AI Engineer/Data Scientist to design and implement advanced multi-agent workflows and intelligent pipelines using frameworks like LangGraph and LangChain. The role involves building and fine‑tuning generative models, developing robust data pipelines, and deploying domain‑adapted LLM solutions. You will integrate AI agents into business processes through automation, RAG systems.

• Develop and deploy end-to-end ML/DL/GenAI solutions aligned with business objectives.
• Work hands-on with data to build robust models and derive insights from complex datasets.
• Implement and maintain production-grade ML systems.

The Head of AI will oversee the road-map and implementation of AI-driven solutions within the organization, ensuring alignment with business objectives. This role requires a strategic thinker with a strong background in VLM (Vision Language Models), Machine Learning, and NLP.

The role of the AI COO in the Analytics department involves overseeing and governing implementation of AI-driven strategies to enhance business operations. Operational Excellence frameworks, resource management, program management etc will be broader charter to achieve profitability.

We are looking for an Associate Data Scientist to join our Analytics team. The ideal candidate will contribute to data-driven solutions, leveraging statistical models and machine learning techniques to solve complex problems

The Senior Data Scientist role in Chennai requires expertise in analytics to drive data-driven decisions within the transport and distribution industry. The ideal candidate will work on complex datasets to optimize operations and provide actionable insights.

Leverage artificial intelligence and machine learning to solve complex business problems across the insurance value chain.

Design and implement AI solutions that create value in Operations, Risk, Underwriting & Claims, and Customer Service, while also evangelizing and shaping the organization's Generative AI strategy across these areas.

Leverage artificial intelligence and machine learning to solve complex business problems across the insurance value chain.

Design and implement AI solutions that create value in Operations, Risk, Underwriting & Claims, and Customer Service, while also evangelizing and shaping the organization's Generative AI strategy across these areas.

The role of a Data Scientist involves leading advanced analytics projects and delivering data-driven insights to support decision-making processes. This position is ideal for candidates with a strong analytical mindset and expertise in data science methodologies within the financial services industry.

The role of Manager ML Engineering involves developing and deploying machine learning solutions to address complex business challenges within the FMCG sector, particularly in the Beverages & Alcohol segment. The position is based in Bengaluru Urban and requires expertise in analytics and machine learning technologies to drive data-driven decision-making.

We are seeking a Data Scientist who will leverage statistical analysis, machine learning, and Generative AI to build impactful solutions that drive customer productivity and business outcomes. The role involves translating business problems into data-driven models, collaborating with cross-functional teams to deploy scalable solutions, and fostering innovation through new technologies and mentorship

The role of a Data Scientist involves leveraging advanced analytical techniques to extract meaningful insights from complex datasets. The position requires a deep understanding of data modelling, machine learning, and statistical analysis to support business decision-making.

As a Data Scientist/Senior Data Scientist, you will develop advanced NLP algorithms to improve accuracy, efficiency, and cost-effectiveness in AI-driven solutions. Your work will leverage structured and unstructured data to transform client services through cutting-edge machine learning.