About the Role

We are looking for a Data Scientist / AI Engineer / Generative AI Engineer to build and deploy intelligent AI applications using NLP, LLMs, RAG, and Machine Learning for financial-services use cases.

Key Responsibilities

- Build AI/GenAI applications using NLP, LLMs, and Deep Learning.
- Design and optimize RAG, semantic search, hybrid search, and vector search solutions.
- Integrate LLMs/SLMs for Q&A;, summarization, document understanding, and search.
- Develop production-grade REST APIs using Python, FastAPI, Flask, etc.
- Apply Prompt Engineering and Generative AI techniques.
- Work with Elasticsearch, FAISS, Pinecone, Weaviate and similar technologies.
- Develop NLP/ML models for classification, NER, embeddings, sentiment analysis, etc.
- Monitor, evaluate, and improve LLM performance, accuracy, relevance, and latency.
- Contribute to LLMOps/MLOps and production AI deployments.
- Work independently with cross-functional teams to solve business and technical problems.

Mandatory Requirements

- 3+ years of hands-on experience in Data Science / AI / ML / Deep Learning / NLP / GenAI.
- Strong Python, backend, API development,



and production support experience.
- Hands-on experience with PyTorch / TensorFlow / Keras / Scikit-learn.
- Solid NLP experience across text classification, NER, semantic search, embeddings, or document understanding.
- Hands-on experience with LLMs such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar.
- Proven experience building RAG / Vector Search / Semantic Search solutions.
- Strong Prompt Engineering experience with LangChain, LangGraph, AI Agents, Azure OpenAI, or similar.
- Experience developing/integrating APIs using FastAPI, Flask, or similar.
- B.Tech/M.Tech from Tier-1 institutes – IITs, NITs, BITS.
- Age: Below 28 years.
- CTC structure: 75% Fixed + 25% Variable.

Good to Have

- LLMOps/MLOps experience.
- Azure OpenAI, AKS, Kubernetes, Docker and cloud-native AI deployments.
- Experience with PostgreSQL, MongoDB, Redis, Kafka or large-scale data platforms.
- Background in AI-first startups, product/SaaS companies, fintech, or data-driven technology companies.

📌 Data Scientist / AI Engineer (Python, ML, RAG) (Pune)
🏢 Bajaj FinServ
📍 Pune