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Sr Lead Data Science & AI - R01549776

5 - 7 years

0 Lacs

bengaluru karnataka india

Posted:1 month ago| Platform: Foundit logo

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Skills Required

vector databases generative ai llm apis rag patterns and enterprise knowledge integration faiss rag pinecone prompt engineering llm application development and fine-tuning prompt design tool integration and orchestration

Work Mode

On-site

Job Type

Full Time

Job Description

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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