Data Scientist

Overall IT Exp: 7+ Yrs

MLE, GenAI, Data Science Exp: 3+ Yrs

Primary Skills : Must Have

1. Python Programming: Advanced proficiency in Python, including asynchronous programming, data structures, and object-oriented design.
2. Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar. Familiarity with Small Language Models (SLMs).
3. RAG : Architectures, including: Knowledge RAG, Graph RAG, Hybrid retrieval systems, Context-aware retrieval pipelines
4. LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using the RAG, LangChain and LangGraph frameworks.
5. Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.
6. Agentic Frameworks & Evaluation: Ability to develop workflow automation using an agentic framework, along with familiarity with evaluation techniques and tools for agentic applications.
7. Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs.
8. API Development & Integration: Experience integrating external APIs, tools, microservices, and data sources into AI-driven workflows. (Fast API)
9. Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.

Secondary Skills : Good To Have

1. Data Engineering (Plus): Basic knowledge of PySpark and Databricks is a plus
2. Azure Cloud Experience