
Gen AI/ML Lead
2 days ago
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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