AI/ML Trainer

Techwise Digital; India; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Techwise Digital is seeking an experienced AI/ML & Generative AI Trainer to lead hands-on training sessions across online and classroom formats. You will develop labs, projects, and assessments, focusing on AI/ML fundamentals, GenAI, LLMs, RAG, LLMOps, and Agentic AI.

The role requires strong Python and ML framework skills, experience with prompting, and multi-agent systems, along with excellent communication and mentoring abilities.

Qualifications

• Strong expertise in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Hands-on with LLMs, prompt engineering, RAG, vector databases, and fine-tuning.
• Experience with LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen, or OpenAI Agents SDK.
• Knowledge of MCP, tool/callable functions, and multi-agent systems.
• Excellent communication, presentation, facilitation, and mentoring skills.

Responsibilities

• Deliver engaging online and classroom training, workshops, and bootcamps.
• Develop hands-on labs, projects, assessments, and industry-relevant content.
• Train learners on AI/ML, GenAI, RAG, LLMOps, and Agentic AI.
• Mentor internal trainers and partner faculty.
• Incorporate real-world use cases and practical projects into training programs.

Skills

Python

Scikit-learn

TensorFlow

PyTorch

Keras

LLMs

Prompt Engineering

RAG

Multi-agent systems

Tools

LangChain

LlamaIndex

CrewAI

AutoGen

OpenAI Agents SDK

Job description

We are looking for an experienced AI/ML & Generative AI Trainer with strong hands-on expertise in Machine Learning, Deep Learning, Generative AI, LLMs, RAG, and Agentic AI.

Key Responsibilities

• Deliver engaging online and classroom training, workshops, and bootcamps.
• Develop hands‑on labs, projects, assessments, and industry‑relevant learning content.
• Train learners on AI/ML, Deep Learning, GenAI, RAG, LLMOps, and Agentic AI.
• Mentor internal trainers and partner faculty.
• Incorporate real‑world use cases and practical projects into training programs.

Requirements

• Strong expertise in Python, Scikit-learn, TensorFlow, PyTorch, or Keras.
• Hands‑on experience with LLMs, Prompt Engineering, RAG, Vector Databases, and LLM Fine‑tuning.
• Experience with LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen, or OpenAI Agents SDK.
• Knowledge of MCP, tool/function calling, and multi‑agent systems.
• Excellent communication, presentation, facilitation, and mentoring skills.

Skills: learning,ml,training