
Data Scientist
2 days ago
Job Title: Data Scientist – Prompt Engineering (Generative AI & NLP)
Experience: 4–7 Years
Location: Pune (Hybrid – Viman Nagar) / Remote (IST-aligned)
Notice Period: Immediate – 10 Days
About the Role
We are seeking a Data Scientist specialized in Prompt Engineering, Generative AI, and NLP to join our team. This is a client-facing role where you will design and deliver scalable AI/ML solutions that drive measurable business outcomes. You will work on cutting-edge technologies such as RAG architectures, multi-agent AI frameworks, and LLM optimization while collaborating closely with clients and cross-functional teams.
Key Responsibilities
- Partner with clients to gather business requirements and translate them into AI/ML solutions.
- Design and implement Retrieval-Augmented Generation (RAG) architectures for knowledge-intensive tasks.
- Apply prompt engineering techniques to optimize LLM performance.
- Develop agentic AI workflows using multi-agent and autonomous frameworks.
- Fine-tune and deploy NLP/Generative AI models for summarization, Q&A, and conversational AI use cases.
- Document structured reasoning chains to ensure transparency and reproducibility.
- Collaborate with engineering teams to integrate AI solutions into client environments .
Required Skills
- 4–7 years of experience in AI/ML, NLP, or Generative AI .
- Proven experience in client-facing roles with strong communication skills.
- Hands-on expertise with frameworks such as LangChain, LangGraph, LlamaIndex (or similar).
- Strong programming skills in Python , with experience in PyTorch/TensorFlow and Hugging Face .
- Proficiency in vector databases (Pinecone, FAISS, Weaviate, Chroma).
- Familiarity with cloud platforms (AWS, Azure, or GCP).
Nice to Have
- Experience in end-to-end GenAI product development (from POC to production).
- Background in LLM fine-tuning and optimization .
- Knowledge of Responsible AI practices and Data Governance .
If you’re passionate about pushing the boundaries of Generative AI and thrive in client-focused environments, we’d love to connect with you
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