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Tata Consultancy Services · NCR

Sr AI/ML Engineer - Generative AI technologies

NCRSenior individual contributorOperations

Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since.

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Job description

TCS Hiring for Sr AI/ML Engineer - Generative AI technologies Locations- Chennai, Bengaluru, Delhi, Pune, Hyderabad, Mumbai Experience Range- 8 to 15 Years Required Qualifications:

  • 14+ years of experience in Software Engineering, Data Science, or Analytics, with at least
  • 8 years in AI/ML engineering or related fields and the last
  • 3 years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn Experience with cloud platforms such as AWS, Azure, and GCP Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes Hands-on experience in AI and driving the development of innovative AI and machine learning solutions
  • Proficiency in Python or other programming languages for data analysis and AI/ML development
  • Proven expertise in AI/ML techniques including deep learning, natural language processing, computer vision, recommender systems, reinforcement learning, and large language models
  • Master’s degree in computer science, Engineering, Mathematics, Statistics, or a related discipline Primary Responsibilities: Develop and implement AI and machine learning strategies primarily in marketing domains.

Understanding of the complete content supply chain will be added advantage. Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/Generative AI where applicable Possess deep expertise AI/ML/Generative AI, Agile methodologies, and DevSecOps to deliver daily product deployments using full automation from code check-in to production across the full SDLC/AIDLC lifecycle

Qualifications

BACHELOR OF ENGINEERING

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