AI/ML Trainer

Techwise Digital; India; On-site; INR 800,000 - 1,100,000; Full time

Job summary

Techwise Digital in India seeks an experienced AI/ML & Generative AI Trainer to lead advanced learning programs for professionals and learners. You will design immersive labs and real-world projects, ensuring practical outcomes and measurable skill gains across cohorts.

Join a dynamic team to mentor internal trainers, develop industry-aligned content, and deliver engaging sessions on GenAI, RAG, LLMOps, and agentic AI, empowering learners with hands-on expertise and confidence.

Qualifications

• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn) is required.
• Hands-on experience with LLMs, prompt engineering, RAG, vector databases, and LLM fine-tuning is essential.
• Familiarity with LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen, or OpenAI Agents SDK is expected.
• Knowledge of MCP, tool/function calling, and multi-agent systems is desirable.
• Excellent communication, presentation, facilitation, and mentoring skills are required.

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, 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

Vector Databases

LLM Fine-tuning

LangChain

LangGraph

LlamaIndex

CrewAI

AutoGen

OpenAI Agents SDK

MCP

tool/calling

Multi-agent systems

Tools

LangChain

LangGraph

LlamaIndex

CrewAI

AutoGen

OpenAI Agents SDK

MCP

tool calling

Multi-agent systems

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