Sr Lead Data Science & AI - R01549776

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.