Director, Data Science & AI
Job Summary
Job Description
The role of Director, Data Science & AI involves designing and developing intelligent, autonomous AI agents using frameworks like LangChain, AutoGPT, and CrewAI. Responsibilities include working with Large Language Models (LLMs) such as GPT-4, Claude, LLaMA, and Mistral to create scalable, enterprise-grade agentic solutions. The position requires building and optimizing Machine Learning/Deep Learning models, collaborating with cross-functional teams for AI-first digital experiences, and staying updated with Generative AI advancements, including RAG, Vector Databases (FAISS/Pinecone), and Prompt Engineering. A minimum of 5 years of experience in Data Science, Machine Learning, or AI is required, with hands-on proficiency in Python, LLM APIs, and ML/DL libraries (PyTorch, TensorFlow, Scikit-learn). Experience with Agentic AI frameworks, orchestration tools, and cloud-based AI deployments (Azure/AWS/GCP) is essential, along with a growth mindset and curiosity for emerging AI technologies.
Must have:
- 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
- Python, LLM APIs, and ML/DL libraries (PyTorch, TensorFlow, Scikit-learn)
- Real-world experience with Agentic AI frameworks
- Strong understanding of cloud-based AI deployments (Azure/AWS/GCP)
Good to have:
- 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
- Communication & Articulation: Vocal & Written
- Business Acumen
- Design Thinking
- Data Literacy
- Vector Databases (FAISS/Pinecone)
13 skills required
Job Details
Director, Data Science & AI
- 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
- Data Science Foundation: Senior Data Scientist
- 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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