AI and Data Science Trainer

Key Responsibilities Deliver training sessions on Data Engineering, Data Science, Generative AI, and Agentic AI Conduct hands-on technical and practical lab sessions Train learners on real-time AI and Data use cases Prepare training materials, case studies, and assignments Support learners in real-time project implementations Stay updated with latest AI, Data, and Cloud technology trends Required Skills (Data Engineering) Python and SQL ETL / Data Pipeline Concepts Spark / PySpark Basics Data Warehousing Concepts Cloud Exposure – AWS / Azure / GCP Required Skills (Data Science) Python for Data Science (Pandas, NumPy, Scikit-Learn) Machine Learning and Deep learning Data Analysis and Visualization Required Skills (Generative AI) Python Programming Generative AI / LLM Concepts Prompt Engineering AI API / LLM Tool Exposure Required Skills (Agentic AI - Latest Trend) Understanding of AI Agents and Autonomous Workflows Multi-Agent Systems Basics Experience or knowledge of Agent Frameworks (LangChain Agents / AutoGen / CrewAI ) Workflow Automation using AI Agents LLM Integration for Task Automation Good to Have AI / ML Project Exposure Training / Mentoring Experience PHD