Machine Learning jobs in India

Join The Client as a Research Engineer developing applied NLP and LLM solutions that transform unstructured clinical data into actionable insights. The role combines hands-on model development, experimentation, evaluation, and production-oriented engineering to improve oncology research and patient-care workflows.

Play a pivotal role in designing,developing, and deploying enterprise-grade AI systems. You will lead AI development for a business unit,reporting directly into the CEO of the Central AI Division.

As a Data & AI/ML professional in Bengaluru, you will work within the Analytics department in the Transport & Distribution industry. You will help turn data into useful insights and practical solutions for Shipping Freight operations.

Develop and deploy advanced Computer Vision and multimodal AI models.

Drive innovation across Deep Learning, VLMs, and Generative AI.

This is a hands-on Principal AI Engineer role focused on leading applied AI research, model distillation, reinforcement learning, and inference optimisation for enterprise-grade AI agents. The position combines deep research ownership with production delivery, influencing both technical strategy and customer outcomes.

Lead architecture and delivery of enterprise AI assistant platforms.

Mentor engineers while building secure, scalable GenAI solutions.

Lead research on video and multimodal AI evaluation frameworks.

Build benchmarks, datasets, and methods shaping future AI systems.

As a Data Scientist in the software industry, you'll analyse complex data sets and help turn them into actionable insights. Your work will contribute to building smarter systems and improving decision-making processes.

As a Data Science Manager in Bengaluru, you'll lead a team to develop data-driven solutions for the fintech industry. Your role will involve turning data into actionable insights to support business goals.

Lead the design and deployment of AI, Machine Learning, and Generative AI solutions while driving enterprise AI strategy and cloud-based innovation. Partner with business and technology teams to deliver scalable, data-driven products with measurable business impact.

The incumbent will lead the adoption of AI/ML, Generative AI, and Agentic AI to create measurable business value-enhancing customer experience, unlocking cross-sell and up-sell opportunities, improving productivity, and strengthening fraud and risk management.

As an FDE in the technology industry, you'll work on creating, improving, and maintaining software solutions. You'll ensure systems run smoothly and meet user needs in a busy technology environment.

This role will design, build and scale an enterprise-grade AI agent that reasons over workforce data to deliver trusted operational and productivity insights. The successful candidate will own the full AI stack, from agent orchestration and RAG architecture to evaluation frameworks, observability and production reliability.

This role combines advanced data science, machine learning, and software engineering to develop innovative AI-driven solutions. The successful candidate will help deliver predictive models, Generative AI applications, and production-grade software while collaborating across product and engineering teams.

This is a hands-on AI Engineering Lead role responsible for building and leading a team developing agentic AI platforms, intelligence engines, and AI-powered productivity governance products. The position combines technical leadership, architecture ownership, people management, and the opportunity to define how AI-native software is built across the organisation.

As an SSE Agentic in the pharmaceutical industry, based in Hyderabad, you'll focus on-

Design and scale production-grade AI agent platforms.

Lead architecture for LLM, RAG and autonomous workflows.

• Own the AI vision, roadmap, and enterprise AI innovation.
• Lead AI research, data science, and customer solutions teams.

The Lead Research Engineer, Applied ML role is a senior technical leadership position responsible for owning end-to-end machine learning and LLM workstreams focused on oncology clinical data and healthcare AI applications. The role combines hands-on ML development, architectural leadership, mentoring, and cross-functional collaboration to deliver production-grade AI systems at scale.

Lead the data science team to develop innovative analytics solutions for private banking within the financial services sector. You'll drive data-driven strategies and insights that support business decision-making

We are looking for a Lead ML Research Scientist to drive the research vision, model training strategy, and innovation roadmap for domain-specific AI systems focused on embedded and hardware-centric engineering environments.

The role combines hands-on LLM research, reinforcement learning, synthetic data generation, and research leadership to build AI models that solve real-world engineering challenges.

Looking for a Data Science Tech Lead to lead analytics-driven operational decision-making at the intersection of data science, business analytics, and operations management.

This role combines strategic leadership, stakeholder management, team development, and analytical problem-solving to drive measurable business outcomes.

Lead enterprise data, analytics and AI strategy.

Drive ML, GenAI and Agentic AI at scale.

Lead AI/ML team building enterprise solutions and scalable systems

Drive end-to-end AI delivery from development to deployment

This role as a Senior AI Engineer in the Financial Services industry focuses on developing and implementing advanced AI models to enhance business analytics and decision-making. Based in Bangalore, the position requires expertise in AI technologies to deliver innovative solutions for financial consultancy challenges.

Drive customer analytics through advanced machine learning.

Build predictive models to improve growth and retention

The Director - Data Science is a senior leadership role responsible for leading the design and deployment of advanced AI solutions, including Agentic AI, Large Language Models (LLMs), Machine Learning, and intelligent automation capabilities, while ensuring they are scalable, secure, and production ready. The role combines deep technical expertise with strategic product leadership to build innovative, enterprise-grade AI products

As Technical Lead - Data Science & Generative AI, you drive the design, development and deployment of machine learning, deep learning and generative AI solutions across Incedo's platforms and client programmes. You work alongside data scientists, data engineers and business stakeholders to ship scalable, productionready AI/ML applications, shape the technical roadmap for AI initiatives, and mentor the team that builds it