The role involves designing AI agents, optimizing ML/DL models, collaborating on AI experiences, and requires deep expertise in AI frameworks and cloud deployments.
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
- 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.
Key Responsibilities-
Top Skills
AWS
Azure
GCP
Langchain
Llamaindex
Llm Apis
Python
PyTorch
Scikit-Learn
Semantic Kernel
TensorFlow
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