GenAI Trainer

14 hours ago

Hyderabad, Telangana, India KIT Skill Hub Full time ₹ 10,00,000 - ₹ 25,00,000 per year

Role: Generative AI (Gen AI) Trainer

Location: Hyderabad (On-Site)

Employment Type: Full-Time

Experience: Minimum 2 years of experience in AI/ML training or industry projects involving

Generative AI

Job Summary

KIT Skill Hub is seeking a passionate and experienced Generative AI Trainer to deliver

high-quality, industry-relevant training programs. The ideal candidate will have a strong

command of modern AI/ML concepts, hands-on expertise with Generative AI frameworks and

Large Language Models (LLMs), and the ability to guide learners through practical, real-world

projects.

Key Responsibilities

  • Curriculum Design & Delivery: Develop and deliver comprehensive training modules on Generative AI, Large Language Models (LLMs), and AI/ML fundamentals, ensuring content is current with industry trends.
  • Hands-On Training: Conduct interactive sessions covering Prompt Engineering, Natural Language Processing (NLP), LangChain, RAG (Retrieval-Augmented Generation), OpenAI APIs, Hugging Face tools, and other Gen AI applications.
  • Project Guidance: Mentor learners through capstone projects, including the design and deployment of AI-powered applications.
  • Assessment & Feedback: Evaluate student progress with assignments, assessments, and one-on-one feedback to ensure learning outcomes are met.
  • Collaboration: Work with KIT Skill Hubs academic team to refine course materials, incorporate the latest AI advancements, and maintain training quality.
  • Continuous Learning: Stay updated with emerging trends in Generative AI, LLM architectures, and cloud-based AI services to keep the curriculum cutting-edge.

Required Skills and Qualifications

  • Proven experience as an AI/ML Trainer, Data Scientist, or AI Engineer with direct exposure to Generative AI technologies.
  • Strong proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers.
  • Hands-on experience with LLMs (e.g., GPT, Falcon, LLaMA), LangChain, prompt engineering, and building RAG-based applications.
  • Solid understanding of NLP, data preprocessing, and deployment of AI models.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and model hosting services.
  • Excellent communication, presentation, and mentoring skills to explain complex concepts clearly to a diverse audience.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Preferred Qualifications

  • Industry certifications in AI/ML or cloud technologies (e.g., AWS AI/ML, Azure AI Engineer).
  • Experience in developing and deploying AI-driven applications in production environments.
  • Prior experience conducting corporate or classroom training programs.

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