Role & responsibilities

Data Scientist Python, Generative AI, RAG & NLP

Roles and Responsibilities:
Develop and deploy production-ready Generative AI and LLM applications using Python, integrating models such as OpenAI, Anthropic, and Gemini.
Design and optimize RAG pipelines, including document chunking, embeddings, vector databases, semantic search, and reranking.
Build agentic AI workflows with tool calling, planning, and multi-agent orchestration.
Develop scalable REST APIs and microservices, ensuring performance, concurrency, and reliability.
Implement AI evaluation, groundedness checks, hallucination reduction, and regression testing.
Optimize AI application latency, token usage, and operational costs; implement observability and secure data-handling practices.
Lead technical architecture reviews, code reviews, mentoring, and collaboration with stakeholders to deliver AI solutions to production.

Key requirements: 812 years of experience, with solid production-level Generative AI/LLM development expertise.

Work details: Hyderabad (Madhapur), 4 days a week from the client office; 12 PM–9 PM shift; 6–12 months contractual engagement.

📌 Data Scientist Hyderabad
🏢 Teamovation Services
📍 Hyderabad