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Gen ai trainer

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Remote

Gen ai trainer

Trident Academy

Gen ai trainer

Skills

Google Cloud PlatformDockerPythonMachine LearningAIAWSAzure

22 days ago

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Important information


Contract type:

Part time

Location:

India

Work mode:

Remote

Published on:

29 September 2026

What they need


Generative AI Trainer

Job Type: Full-time / Part-time / Contract
Experience: 2+ years of experience in Generative AI, AI/ML, training, or consulting
Location: [Location / Remote]

Job Summary

We are looking for an experienced Generative AI (GenAI) Trainer to deliver practical, project-oriented training to students and working professionals. The ideal candidate should have strong hands-on experience with Generative AI technologies, Large Language Models (LLMs), AI application development, and modern GenAI frameworks.

Key Responsibilities

  • Conduct Generative AI training sessions for beginners and experienced professionals.
  • Develop structured lesson plans, presentations, hands-on exercises, and project assignments.
  • Explain Generative AI concepts using real-world business use cases.
  • Cover key topics including:
  • Generative AI Fundamentals
  • Artificial Intelligence and Machine Learning Basics
  • Large Language Models (LLMs)
  • Transformer Architecture and Attention Mechanisms
  • Prompt Engineering
  • Few-shot and Zero-shot Learning
  • Retrieval-Augmented Generation (RAG)
  • Embeddings and Vector Databases
  • LangChain / LlamaIndex
  • AI Agents and Agentic AI
  • Function Calling and Tool Use
  • Fine-tuning and Model Adaptation
  • LLM Evaluation and Performance Optimization
  • AI APIs and Model Integration
  • Open-source and Commercial LLMs
  • Generative AI Application Development
  • Responsible AI, Security, and Data Privacy
  • Deployment and Monitoring of GenAI Applications
  • Provide hands-on coding exercises using Python and relevant GenAI frameworks.
  • Guide learners in developing real-world GenAI applications such as chatbots, document Q&A systems, AI assistants, and RAG applications.
  • Demonstrate integration of LLMs with databases, APIs, and enterprise applications.
  • Explain best practices for prompt design, context management, evaluation, and production deployment.
  • Provide project-based assignments and review learner implementations.
  • Assess learner progress and provide technical feedback.
  • Prepare learners for GenAI/AI technical interviews where required.

Requirements

  • Strong hands-on experience in Generative AI and LLM technologies.
  • Prior experience as a GenAI Trainer, AI/ML Engineer, Data Scientist, Developer, Consultant, or Technical Instructor.
  • Strong proficiency in Python.
  • Good understanding of LLMs, transformers, embeddings, vector databases, and RAG.
  • Hands-on experience with frameworks such as LangChain, LlamaIndex, or equivalent.
  • Experience working with AI/LLM APIs and open-source models.
  • Knowledge of prompt engineering and AI application development.
  • Excellent communication and presentation skills.
  • Ability to explain complex AI concepts in a simple and practical manner.
  • Real-time GenAI project experience is highly preferred.

Preferred Skills

  • Experience with OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, or other LLM platforms.
  • Experience with vector databases such as Pinecone, FAISS, Chroma, Weaviate, or similar technologies.
  • Knowledge of Hugging Face and open-source LLMs.
  • Experience developing AI agents and agentic workflows.
  • Knowledge of fine-tuning techniques such as LoRA/PEFT is an advantage.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Knowledge of Docker, APIs, Git, and CI/CD is a plus.
  • Experience training working professionals and corporate teams is preferred.

What We Offer

  • Competitive compensation based on experience and expertise.
  • Flexible training schedules.
  • Remote/online training opportunities.
  • Long-term engagement opportunities for successful trainers.
  • Opportunity to train professionals using real-world Generative AI projects and use cases.

Pay: ₹9,371.83 - ₹39,771.72 per month

Work Location: Remote

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