Jobs → Data & Analytics → Senior Data Scientist / AI Engineer

About the Role We are looking for experienced Senior Data Scientists / AI Engineers with strong expertise in Agentic AI, Machine Learning, LLMs, Azure Cloud, and Healthcare Payer domain. Key Responsibilities • Design and deploy advanced ML and AI solutions. • Build scalable LLM-powered and Agentic AI applications. • Develop Knowledge Graph-driven AI systems and RAG pipelines. • Manage end-to-end MLOps workflows, from training to production monitoring. • Collaborate with cross-functional teams to deliver production-ready AI solutions. Requirements • 10+ years of experience in Data Science or AI Engineering. • Strong expertise in Agentic AI, Machine Learning, LLMs, Azure Cloud, and Healthcare Payer domain. • Experience with A2A (Agent-to-Agent) and MCP. • Proficiency in Python, PyTorch, TensorFlow, LLMs, Transformers, RAG, Fine-Tuning, NLP, Semantic Search, Embeddings, Knowledge Graphs, Neo4j, RDF/OWL, Graph ML, MLOps, MLflow, Kubeflow, Airflow, Docker, CI/CD, Hugging Face, LangChain, and Vector Databases. • Preferred domain experience in Healthcare Insurance / Payer, Managed Care, Claims Processing, Clinical Workflows, Risk Modeling, and Healthcare Regulatory Frameworks.