AI/ML Technical Trainer

Chandigarh University; Mohali; On-site; INR 600,000 - 900,000; Full time

Job summary

Chandigarh University is seeking an experienced instructor to deliver engaging training on AI, ML, and generative AI concepts in a classroom setting in Mohali. The role includes designing practical coding labs around LLMs, RAG workflows, and vector databases to enhance hands-on learning.

Responsibilities include guiding students through neural networks, data preprocessing, and model deployment, plus assessing progress and offering constructive feedback to help build strong AI portfolios.

Qualifications

• Experience delivering AI training sessions.
• Ability to design hands-on coding labs for AI concepts.
• Strong mentoring, public speaking and code review skills.

Responsibilities

• Deliver engaging training sessions on AI, ML, and generative AI concepts.
• Design hands-on coding labs for LLMs and RAG workflows.
• Guide learners through neural networks, data preprocessing, and vector DBs.
• Assess student progress and provide feedback on AI models.
• Support learners in building real-world AI applications for portfolios.

Skills

Generative AI & Architecture

Technical Expertise

Programming & Frameworks

Core Competencies

Job description

Roles and Resposnibilities

• Deliver engaging training sessions on artificial intelligence, machine learning, and generative AI concepts.
• Design hands-on coding labs on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) workflows.
• Guide learners through complex neural networks, data preprocessing, and vector database integration.
• Assess student progress and provide helpful feedback on building and fine-tuning AI models.
• Support learners in developing real-world AI applications to build a strong professional portfolio.

Key Skills:

• Generative AI & Architecture: LLMs (OpenAI, Hugging Face, Llama), RAG frameworks (LangChain, LlamaIndex), and Vector Databases (Pinecone, Chroma, Milvus).
• Technical Expertise: Deep learning, NLP, computer vision, data preprocessing, and model deployment.
• Programming & Frameworks: Python, SQL, TensorFlow, PyTorch, and Scikit-Learn.
• Core Competencies: Curriculum design, technical mentoring, public speaking, and code review.