Machine Learning jobs Bangalore

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.

This role focuses on building production‑grade applied AI systems, including LLM applications, RAG pipelines, and AI agents. You will work across data, reasoning, and backend systems to deliver personalized learning experiences at scale.

This role involves building and deploying production‑grade ML systems and agentic AI workflows that drive real‑time decision‑making. You will work across data, modeling, and deployment to power an AI platform used by global consumer tech companies.

This role leads the end‑to‑end data science and AI charter, owning recommendation, personalization, GenAI, and real‑time ML systems across consumer platforms. It is a foundational leadership position responsible for building teams, platforms, and AI strategy at massive scale.

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 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.

The AI Tech Lead will deliver intelligent systems from architecture to production at scale. They should be skilled in designing robust AI platforms, data pipelines, and MLOps frameworks, with strong focus on scalability, reliability, and performance optimization. They should also have experience in applying advanced techniques across machine learning, deep learning, NLP, and GenAI (including RAG and LLM-based systems), while embedding responsible AI practices.