Company:A Large Global Organization

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

Valuable 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 (Hyderabad)
🏢 MyCareernet
📍 Hyderabad