Senior Data Scientist
EXL (company site, opens in a new tab)6+ yrsKarnatakaHybridDirect career pageEst. 22–35 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain advanced Python applications focused on Generative AI technologies including GPT, LLAMA, Mistral, FLAN T5, with emphasis on performance, reliability, and scalability.
- Design and implement complex RAG (Retrieval-Augmented Generation) pipelines involving embeddings, indexing, chunking, reranking, prompting, and evaluation.
- Collaborate cross-functionally to integrate AI solutions into client projects, managing GPU resources on cloud platforms like AWS, Azure, or Databricks to optimize AI model execution.
Minimum Requirements
- Bachelor's or Master's degree in a quantitative or engineering field such as Computer Science, Machine Learning, Mathematics, or Statistics.
- 6+ years of hands-on experience in data science and NLP-focused Python development, including ML model building and advanced Python libraries (NumPy, Pandas, Scikit-learn).
- Proficiency in NLP evolution, training data creation, advanced RAG pipeline components, and practical application of Generative AI models.
- Experience with cloud GPU platforms (AWS, Azure, Databricks) for AI model deployment and optimization.
Ideal Candidate Profile
- Strong expertise in end-to-end NLP development with Python, comfortable with object-oriented design and integrating multiple data sources.
- Deep knowledge of Generative AI technologies and NLP advancements, including large language models and RAG pipeline components.
- Capable of independently managing AI project deliverables while collaborating effectively with technical and delivery teams in a fast-paced environment.