Sr Lead Data Science & AI - R01549776

undefined ago • 5 Years + • Data Analysis

Job Summary

Job Description

This role involves designing and developing intelligent, autonomous AI agents using frameworks like LangChain, AutoGPT, and CrewAI. The successful candidate will work with LLMs such as GPT-4, Claude, LLaMA, and Mistral to create scalable, enterprise-grade agentic solutions. Responsibilities include building and optimizing ML/DL models for agent decision-making and collaborating with cross-functional teams to deliver AI-first digital experiences. Staying updated on Generative AI, RAG, Vector Databases, and Prompt Engineering is crucial.
Must have:
  • Design and develop intelligent, autonomous AI agents using frameworks like LangChain, AutoGPT, CrewAI.
  • Work with LLMs (GPT-4, Claude, LLaMA, Mistral) to create scalable, enterprise-grade agentic solutions.
  • Build and optimize ML/DL models to power decision-making for agents.
  • Collaborate with cross-functional teams to deliver AI-first digital experiences.
  • Stay on the edge of innovation in Generative AI, RAG, Vector Databases (FAISS/Pinecone), Prompt Engineering.
  • 5+ years of experience in Data Science / Machine Learning / AI.
  • Hands-on with Python, LLM APIs, and ML/DL libraries (PyTorch, TensorFlow, Scikit-learn).
  • Real-world experience with Agentic AI frameworks and orchestration tools.
  • Strong understanding of cloud-based AI deployments (Azure/AWS/GCP).
Good to have:
  • A growth mindset with curiosity for emerging AI technologies.

Job Details

Director, Data Science & AI

Primary Skills

  • Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling & Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication & Articulation: Vocal & Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy

Specialization

  • Data Science Foundation: Senior Data Scientist

Job requirements

  • Proactive Hiring in the below area.
  • LLM application development and fine-tuning
  • Agentic AI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel)
  • RAG patterns and enterprise knowledge integration
  • Prompt design, tool integration, and orchestration

Key Responsibilities-

  • Design and develop intelligent, autonomous AI agents using frameworks like LangChain, AutoGPT, CrewAI, etc. Work with LLMs (GPT-4, Claude, LLaMA, Mistral) to create scalable, enterprise-grade agentic solutions.
  • Build and optimize ML/DL models to power decision-making for agents.
  • Collaborate with cross-functional teams to deliver AI-first digital experiences.
  • Stay on the edge of innovation in Generative AI, RAG, Vector Databases (FAISS/Pinecone), Prompt Engineering, and more.
  • 5+ years of experience in Data Science / Machine Learning / AI.
  • Hands-on with Python, LLM APIs, and ML/DL libraries (PyTorch, TensorFlow, Scikit-learn).
  • Real-world experience with Agentic AI frameworks and orchestration tools.
  • Strong understanding of cloud-based AI deployments (Azure/AWS/GCP).
  • A growth mindset with curiosity for emerging AI technologies.

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