Gen AI/ML Lead

4 weeks ago

Pune, India Tata Technologies Full time

Dear Candidate,

We at TATA Technologies looking for an experienced candidate for Gen AI/ML lead role for Pune location. Please check the below JD, if matches to your profile please share your resume on

Job Title: Gen AI/ML Lead

Total Experince: 6-8 Years

Location: Pune

Notice Period: Immediate-30 Days

CTC: As per company

Role & responsibilities:

  • Define and lead the Gen AI/ML strategy, aligning with organizational goals.
  • Architect and oversee the development of intelligent chatbots for HR, Finance, and People Supply Chain functions.
  • Lead initiatives to integrate in-context AI capabilities into existing applications to enhance user experience and productivity.
  • Drive the development and deployment of Agentic AI solutions for autonomous and decision-support systems.
  • Mentor and guide the AI/ML team, fostering innovation and collaboration.
  • Collaborate with stakeholders to understand business needs and translate them into AI/ML solutions.
  • Stay updated on the latest advancements in AI/ML to ensure cutting-edge implementations.

Qualifications:

  • Bachelors degree in computer science, Artificial Intelligence, Machine Learning, or related field.
  • 6+ years of overall experience in SW development, with at least 3 years in a AI/ML development leadership role.
  • Proven expertise in chatbot development, NLP, and contextual AI technologies.
  • Strong understanding of ML frameworks (TensorFlow, PyTorch) and cloud AI services (AWS, Azure, Google Cloud).
  • Exceptional problem-solving and strategic thinking abilities.
  • Excellent communication and stakeholder management skills.
  • Generative AI, Azure OpenAI Service, Azure Cognitive Search / Azure Search Service

Preferred Technical Skills:

  • Vector Database, Embeddings (OpenAI / Azure-based), ChatGPT / GPT-4 / GPT Models,
  • Retrieval-Augmented Generation (RAG), LangChain,
  • RESTful API development,
  • OpenAI API,
  • Prompt Engineering,
  • Azure Machine Learning (Azure ML),
  • Azure DevOps (ADO)Kubernetes / Docker (for AI microservices, Git & CI/CD Pipelines,
  • Experience with cloud-native architecture (preferably in Azure),
  • Experience leading AI engineering teams

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