AI/ML Trainer

TechWise Digital; India; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Techwise Digital is seeking an experienced AI/ML & Generative AI Trainer to deliver online and classroom sessions, develop hands-on labs, and drive practical learning on GenAI, RAG, LLMs, and Agentic AI. You will mentor fellow trainers and integrate real-world use cases into programs.

The ideal candidate has strong Python and ML framework skills, plus hands-on experience with LLM tooling and multi-agent systems, and excellent communication and mentoring abilities.

Qualifications

• 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.

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.

Skills

Python

Scikit-learn

TensorFlow

PyTorch

Keras

LLMs

Prompt Engineering

RAG

LLMOps

LangChain

LangGraph

LlamaIndex

CrewAI

AutoGen

OpenAI Agents SDK

tool calling

multi-agent systems

communication

Tools

Python

Scikit-learn

TensorFlow

PyTorch

Keras

LangChain

LangGraph

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: training,ml,learning