Data Scientist
About the Role
Lead the design and implementation of agentic AI workflows using LangGraph, AutoGen, LangChain, or similar frameworks. Architect and optimize scalable APIs (REST/WebSocket) for production deployment. Develop, fine-tune, and integrate large language models into enterprise applications.
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Qualifications
- Bachelor's/Master's in Engineering 2-5 years
Responsibilities
- Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, AI/ML, or related field.
- 3+ years of total professional experience in AI/ML, Data Science, or related fields.
- 3+ years of hands-on experience in Python with strong software engineering practices.
- At least 3 years of experience in AI/ML engineering, including 2+ years of hands-on experience in Generative AI /Agentic AI.
- Hands-on experience with deep learning frameworks (PyTorch, TensorFlow).
- Expertise in large language models (LLMs), prompt engineering, and fine-tuning.
- Proven track record of deploying at least 3 GenAI/Agentic AI projects into production.
- Strong background in Data Science or Data Engineering, including data pipelines, ETL, and data modeling.
- Practical knowledge of SQL, No-SQL, vector databases, and graph databases.
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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