Data Scientist- GenAI Engineer
The role involves building and evaluating LLM-powered solutions such as summarization, classification, extraction, and conversational assistants for EXL in Noida. Candidates will design prompt strategies, RAG architectures, and develop Python prototypes using libraries like LangChain, Hugging Face, and vector search techniques.
Skills required
About this role
GenAI - Data Science
Responsibilities
- Develop and evaluate LLM-powered solutions such as summarization, classification, extraction and conversational assistants
- Design prompt strategies, RAG architectures, and fine-tuning/adapter approaches where appropriate
- Apply NLP and ML methods: text classification, topic modeling, semantic search, embeddings, clustering, regression/causal inference as needed
- Develop Python-based prototypes and evaluation frameworks for LLM and GenAI use cases
- Advanced use of object-oriented programming and functional programming patterns for ML workflows
Qualifications
- 4+ years experience in Data Science/ML with demonstrable GenAI/LLM project experience
- Strong Python skills (pandas, numpy, scikit-learn; plus LangChain/LlamaIndex OR direct SDKs like OpenAI/Vertex AI/Hugging Face)
- Hands-on with embeddings, vector search, RAG, prompt design, and LLM evaluation
- Solid grounding in statistics & experimentation: hypothesis testing, confidence intervals, power analysis, A/B testing design
