Data Scientist- Agentic AI,RAG,MCP, AI, LangGraph, Vector DB, Supply Chain, Cloud- (10-15yrs)exp

Design and develop AI/ML solutions including Generative AI, LLM, Agentic AI, and RAG pipelines to improve supply chain decision-making and operational efficiency.

Translate complex business challenges into scalable, production-ready data science and AI applications, collaborating cross-functionally for deployment and lifecycle management.

Drive innovation in AI methodologies and ensure responsible AI practices including bias mitigation, interpretability, and reproducibility in solutions.

Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or related quantitative field.

7–10+ years of professional experience in Data Science, Advanced Analytics, Machine Learning, or related domains.

Proficient in Python, SQL, and experienced in supervised and unsupervised ML, time-series analysis, optimization techniques, and production deployment of AI/ML models including LLM-powered applications.

Hands-on experience with Agentic AI, RAG pipelines, semantic retrieval systems, embeddings, vector databases, prompt engineering, MLOps, and designing end-to-end scalable AI/ML data pipelines.

Strong domain experience applying AI/ML to supply chain, manufacturing, semiconductor, or operational environments with measurable business impact.

Expertise in advanced AI techniques including Agentic AI autonomous workflows, multi-agent orchestration, LLM fine-tuning, and graph analytics.

Proven ability to operate in fast-paced, global, cross-functional teams delivering production-ready AI solutions with strong stakeholder management and communication skills.