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
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