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Data Scientist- GenAI Engineer

Job Description - Data Scientist- GenAI Engineer

Description

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



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