Data Scientist

Key Responsibilities• Design and implement AI and Generative AI solutions. • Build RAG, Agentic AI, and LLM-based applications. • Develop ML models for prediction, recommendation, and analytics. • Manage AI platforms on AWS, GCP, and Azure. • Implement MLOps, CI/CD, model monitoring, and deployment pipelines. • Lead and mentor AI/ML engineering teams. • Collaborate with stakeholders to drive AI transformation projects. Required Skills• Generative AI & LLMs (GPT-4, Claude, LLaMA, Gemini) • RAG / Agentic AI • LangChain, LangGraph, LlamaIndex • Python, SQL, PyTorch, TensorFlow • AWS, GCP, Azure • Kubernetes, Docker, MLflow, Kubeflow • Vector Databases (FAISS, ChromaDB) Preferred Certifications• AWS Machine Learning Specialty • Google Professional ML Engineer • Microsoft Azure Data Scientist Associate EducationBachelor’s or Master’s Degree in Computer Science, AI, Data Science, or related field.