Generative AI
2 weeks ago
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
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