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.
