Data Scientist- GenAI Engineer
About the Role
We are seeking an experienced Data Scientist with deep expertise in Generative AI and Python to design, develop, and deploy advanced AI models that drive innovation and deliver impactful solutions. This role involves working on cutting-edge projects, leveraging large language models (LLMs), multimodal AI, and generative techniques to solve complex business problems.
Key Skills for This Role
Full Job Posting
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
About EXL
EXL is a global data and AI company that provides analytics, digital operations, and industry-specific services to enterprises in insurance, healthcare, banking, retail, media, and energy.
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