AI & Machine learning trainer intern

Job Description: AI & Machine Learning Trainer Intern

Position: Trainer Intern – Artificial Intelligence, Machine Learning & Generative AI

Organization: NizzCorp

Location: Malappuram, Kerala (On-site/Hybrid, as applicable)

Duration: 3 Months

Reporting To: Program Manager / Lead Trainer

About the Role:

The AI, ML & Generative AI Trainer Intern will support training delivery, content creation, and project guidance across Artificial Intelligence, Machine Learning, Deep Learning, and modern GenAI technologies.

This role is especially suitable for Master’s graduates and Professionals (MSc/M.Tech/B.Tech) who want hands-on teaching experience and exposure to cutting-edge AI tools, including Large Language Models (LLMs), LangChain, RAG pipelines,Fine Tuning, and prompt engineering.

Key Responsibilities

1. Training & Facilitation

Assist in delivering sessions on Python, Machine Learning, Deep Learning, LLMs, and Generative AI.

Support practical labs involving model building, fine-tuning, and deployment workflows.

Conduct doubt-clearing, hands-on demos, and individualized learning support.

2. GenAI & LLM Tools Hands-on

Introduce students to LLMs (GPT, Llama, Mistral, etc.), prompt engineering, embeddings, and vector databases.

Assist in teaching frameworks like LangChain, LlamaIndex, HuggingFace Transformers, and RAG implementation.

Help students run GenAI projects such as chatbots, AI assistants, and automation tools.

3. Content & Curriculum Development

Develop course content, slides, assessments, and GenAI project templates.

Create code examples for ML algorithms, LLM applications, LangChain workflows, and dataset pipelines.

Update the curriculum based on the latest advancements in AI and GenAI ecosystems.

4. Project Guidance

Mentor students in building ML and AI applications including:

ML prediction systems

Deep learning models

LLM-powered chatbots

RAG systems

Automation tools using LangChain

Review and troubleshoot project submissions.

5. Research & Tools Exploration

Explore and demonstrate new AI tools such as:

HuggingFace, OpenAI APIs

Vector stores (FAISS, Pinecone, Chroma)

Model monitoring, dataset curation tools

Prepare short demos or applied use cases for training sessions.

6. Academic Support & Coordination

Assist in assessments, student progress tracking, and classroom coordination.

Work with the program manager and trainers for smooth program execution.

Maintain a supportive and engaging learning environment.

Required Skills & Knowledge

Technical Skills

Strong Python programming foundation.

Understanding of Machine Learning algorithms and pipelines.

Familiarity with NumPy, Pandas, Matplotlib, Scikit-learn.

Basic knowledge of Deep Learning frameworks (TensorFlow/Keras/PyTorch).

Exposure to LLMs, ChatGPT API, LangChain, HuggingFace, or vector databases.

Understanding of RAG, embeddings, tokenization, and model fine-tuning is a plus.

Soft Skills

Excellent communication and presentation skills.

Ability to simplify complex technical concepts.

Good mentoring attitude, patience, and teamwork.

Strong learning mindset and adaptability.

Eligibility

Master’s graduates or Professionals preferred:

MSc (CS/AI/Data Science)

M.Tech (CSE/AI/Data Science/Maths/Physics)

Bachelor’s graduates: B.Tech (CSE/IT/AI/DS) or equivalent can also apply.

Candidates with ML/GenAI projects, GitHub portfolios, or research exposure will be prioritized.

What You Will Gain

Hands-on training experience in AI, ML, DL, and Generative AI.

Deep exposure to practical LLM workflows, LangChain applications, and GenAI development.

Opportunity to assist real student projects and academic processes.

Internship certificate upon successful completion.

Faster pathway to roles like AI Trainer, ML Engineer, or GenAI Developer.

Job Type: Internship
Contract length: 3 months

Work Location: In person