AI/ML Trainer

Job Overview

We seek a skilled AI/ML and Generative AI Trainer to conduct dynamic instructional sessions, encompassing online classes, workshops, and bootcamps. The role involves designing practical labs, projects, assessments, and industry-focused learning materials tailored to AI/ML topics such as Deep Learning, Generative AI, Retrieval-Augmented Generation (RAG), Large Language Model operations (LLMOps), and Agentic AI.

Primary Responsibilities

• Conduct engaging training sessions and workshops both online and in person.
• Create hands-on lab exercises, project outlines, and evaluation methods aligned with industry standards.
• Provide education on AI/ML, Deep Learning, Generative AI, RAG, LLMOps, and Agent-based AI systems.
• Guide and support internal trainers and collaborative faculty members.
• Integrate realistic use cases and applied projects into the curriculum.

Required Qualifications and Experience

• Proficiency in programming with Python and libraries including Scikit-learn, TensorFlow, PyTorch, or Keras.
• Practical experience working with Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation, vector databases, and fine-tuning of LLMs.
• Familiarity with frameworks and tools such as LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen, or OpenAI Agents SDK.
• Understanding of Multi-Chain Processing (MCP), function/tool calling mechanisms, and multi-agent architectures.
• Excellent skills in communication, presentation, facilitation, and mentoring learners and trainers.

Eligibility

Applicants must hold at least a graduate degree to qualify.