Job Title: 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
About KIT Skill Hub:
KIT Skill Hub is one of the fastest-growing training and skill development platforms, helping students and professionals build industry-ready expertise. We partner with universities, corporates, and experts to deliver hands-on learning experiences that prepare learners for real-world careers.
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 Hub’s 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.
Job Type: Full-time