Data Science Trainer | Corporate Trainer | Onsite
KIT Skill Hub (Part of Kapil Groups)
Posted on: February 26, 2026
Job Title: Data Science (Gen AI) Trainer | Corporate Trainer | Mentor | Offline
Location: Hyderabad (On-Site)
Company: KIT Skill Hub
Employment Type: Part-Time / Full-Time
Experience: Minimum 2+ years in Data Science / AI / ML, with at least 1 year of mandatory training experience. (Gen AI experience is a strong plus)
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
We are looking for a passionate and industry-experienced Data Science & Generative AI Trainer to deliver practical, hands-on training programs.
The ideal candidate should have:
• Strong foundation in Data Science & Machine Learning
• Practical exposure to Generative AI tools & LLM-based applications
• Ability to mentor students with real-world projects
• Good communication and classroom management skills
Key Responsibilities1️ Curriculum Design & Delivery
• Deliver structured training on:
• Python for Data Science
• Statistics & Mathematics for M
• Machine Learning Algorithms
• Deep Learning advanced models like ANN & CNN
• NLP
• Generative AI & LLM Concepts
• Update course content based on industry trends
2️ Hands-On Technical Training
Conduct practical sessions on:
• Prompt Engineering
• Large Language Models (LLMs)
• RAG (Retrieval-Augmented Generation)
• LangChain
• OpenAI APIs
• Hugging Face Transformers
• Model fine-tuning basics
• AI application development
3️ Project Mentoring
• Guide students in capstone & real-time projects
• Support end-to-end AI/ML project development
• Help students build strong portfolios
4️ Student Assessment & Support
• Conduct assignments & evaluations
• Provide one-on-one feedback
• Prepare students for technical interviews
5️ Academic Collaboration
• Work with the academic team to improve the curriculum
• Contribute to workshops, seminars & special AI events
Required Skills & Qualifications
• Strong proficiency in Python
• Experience with:
• NumPy, Pandas, Matplotlib, Seaborn
• Scikit-Learn
• TensorFlow / PyTorch
• NLP techniques
• Hands-on exposure to:
• LLMs (GPT, LLaMA, Falcon, etc.)
• Prompt Engineering
• RAG-based applications
• LangChain
• Understanding of model deployment basics
• Good presentation & mentoring skills
• Bachelor’s / Master’s in Computer Science, Data Science, AI, or related field
Preferred Qualifications
• Experience in production-level AI projects
• Exposure to cloud platforms (AWS / Azure / GCP)
• Prior classroom or corporate training experience
• Industry certifications in AI/ML
Employment Structure & Compensation
Part-Time (Nanakramguda Only)
• Flexible schedule
• Compensation Options:
• Hourly Pay
• Monthly Fixed
• Revenue Sharing Model (Based on batch strength & performance)
Suitable for working professionals / freelance trainers.
Full-Time (Nanakramguda & Ameerpet)
• Fixed Salary (Based on current CTC & experience)
• Performance-based increments
• Growth opportunities within KIT Skill Hub
• Career advancement opportunities within the Kapil Group
Ideal Candidate Profile
• Passionate about teaching & mentoring
• Strong practical exposure to AI/ML projects
• Comfortable handling beginner to advanced batches
• Based in Hyderabad or willing to work on-site
Job Types: Full-time, Part-time, Contractual / Temporary, Freelance
Application Question(s):
• How many total years of professional experience do you have in Data Science?
• Do you have at least 1-2 years of experience in training, mentoring, or teaching (corporate or academic)?
• Are you comfortable conducting on-site training in Hyderabad, and are you available for Full-Time or Part-Time?
• What is your current salary? Mention in LPA
• What is your expected salary? Mention in LPA
Work Location: In person
About Company
KIT Skill Hub (Part of Kapil Groups)
Telangana ,IN
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