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EXL

Data Scientist

EXL Gurugram, Haryana, India

Business Consulting and Services · 10,001+ employees

6 h ago
data-scientist Mid (2-5 yrs) Full-time India
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About the role

Lead the design and implementation of agentic AI workflows and scalable APIs for production deployment. Collaborate with cross-functional stakeholders to deliver GenAI solutions while providing technical leadership to engineering teams.

What they look for

Python Generative AI Agentic AI LangGraph AutoGen LangChain PyTorch TensorFlow SQL No-SQL Vector Databases Graph Databases Neo4j MLOps Data Engineering Prompt Engineering

Requirements

Requires a Bachelor's or Master's degree in a technical field and 3-6 years of professional experience. Candidates must have hands-on experience with deep learning frameworks, LLMs, and deploying GenAI projects into production.

Full description

  • 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.
  • Deploy and maintain at least 3 GenAI/Agentic AI projects in production, ensuring reliability, scalability, and performance.
  • Integrate SQL, No-SQL, and vector databases such as Postgres, MongoDB, and ChromaDB.
  • Implement graph databases (Neo4j) for knowledge graph-based use cases.
  • Provide technical leadership and mentorship to engineering teams.
  • Collaborate with cross-functional stakeholders to identify and deliver GenAI solutions across multiple business domains.
  • Ensure robustness, security, and compliance of deployed AI systems.
  • Stay current with trends in GenAI, deep learning, and orchestration frameworks.
  • Document and present technical solutions to both technical and non-technical audiences.
  • Familiarity with LangGraph, AutoGen, LangChain, or similar agentic AI frameworks.
  • Experience with multi-agent systems and orchestration of intelligent workflows.
  • Knowledge of MLOps practices (CI/CD, model monitoring, retraining pipelines).
  • Strong problem-solving skills and ability to thrive in fast-paced R&D environments.
  • Contributions to open-source AI/ML projects or published research in generative AI

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.

Qualifications

Bachelor's/Master's in Engineering 2-5 years

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