Key Skills: Agentic AI, LLM, AI/ML, Data Scientist, Statistical Analysis, NLP, Retrieval-Augmented Generation (RAG), Semantic AI, Generative AI, Deep Learning

Roles and Responsibilities:

- Design and develop AI agents and multi-agent systems using LangGraph, LangChain, and Semantic Kernel.

- Build and productionize LLM applications using RAG architectures, including retrieval pipelines and ranking strategies.

- Develop machine learning models for classification, regression, forecasting, recommendations, and anomaly detection.

- Implement NLP solutions such as text classification, entity extraction, semantic search, conversational AI, and sentiment analysis.

- Apply statistical modeling and experimental design to validate model performance and drive data-driven decisions.

Skills Required:





- 6-7 years of experience in Data Science and Machine Learning

- Data Science and end-to-end ML solution development

- Statistical Analysis (probability, hypothesis testing, regression analysis, Bayesian statistics, A/B testing)

- NLP and LLM development for semantic understanding and language tasks

- Agentic AI and RAG (retrieval-augmented generation) for enterprise LLM applications

Positive to Have

- Deep Learning and Generative AI experience

- Semantic AI experience

Education: Master's or PhD in Computer Science, Statistics, Mathematics, or a related field (or equivalent practical experience)

📌 Lead Data Scientist (Agentic AI & RAG) (Hyderabad)
🏢 Careernet
📍 Hyderabad