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Data Scientist- GenAI Engineer

exl Service.com (India) Private Limited
Noida, IND
Full-time
Mid · 4+ years experience
Hybrid
Discovered Today
langchainnumpyopenaipandaspythonscikit-learn

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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
  • 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

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
  • 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

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