Data scienceTrainer

Education:

• B.E / B.Tech / M.Tech/ MCA/ Ph.D in Computer Science, IT, Data Science, or equivalent.

• Strong foundation in AI, Machine Learning, Data Analytics, and Python Programming.

Experience:

Delivering course content and materials to internal and external clients through instructor-led classroom presentations, webinars and virtual classrooms.

Develop and maintain comprehensive training materials that cover fundamental concepts of emerging technologies such as AI-ML, Cloud Computing, Gen AI, Data Analytics, Agentic AI.

Develop hands-on activities and projects that allow learners to apply theoretical knowledge in practical scenarios.

Technical Skills:

● Working with IBM Cloud platform ● Supervised and Unsupervised Learning, Model Training, Testing, and Evaluation ● Feature Engineering and Model Optimization ● Deep Learning fundamentals (Neural Networks, CNN, RNN) ● Python programming, Libraries such as NumPy, Pandas, Scikit-learn ● Working with Large Language Models (LLMs) ● Prompt Engineering ● Retrieval-Augmented Generation (RAG) ● Designing AI agents and workflows ● Multi-agent systems and orchestration ● Using frameworks such as LangChain, LangFlow, or similar agent frameworks

Location:

• Open to multiple locations as per program requirements.

• Willingness to travel for in-person workshops, faculty training, and student engagements.