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AIML TRAINER

Exclusive opportunity

Onsite

AIML TRAINER

Pumo Technovation India pvt Ltd

AIML TRAINER

Skills

SQL QueriesDeep LearningPythonData ScienceNumPypandasMySQLMachine LearningAIGitHubNLP / Natural Language Processing

1 month ago

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Important information


Contract type:

Permanent

Location:

Tamil Nadu, India

Work mode:

Onsite

Published on:

30 September 2026

What they need


AI/ML Trainer – Job Description

Position: AI/ML Trainer
Experience: 0–2 Years
Employment Type: Full-Time
Department: Training & Development
Location: TIRUPPUR

Job Summary

We are looking for a passionate and technically strong AI/ML Trainer with 0–2 years of experience to deliver practical and industry-oriented training in Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, and AI Agents.

The ideal candidate should have strong Python and AI/ML fundamentals, practical project experience, and excellent communication skills with the ability to explain technical concepts in a simple and engaging manner.

Key Responsibilities

  • Conduct theory and practical training sessions on AI, ML, GenAI, and AI Agents.
  • Explain technical concepts from beginner to intermediate level through hands-on demonstrations.
  • Prepare training materials, assignments, assessments, and practical exercises.
  • Guide students in developing real-time AI/ML and GenAI projects.
  • Train students in building AI Agents and agent-based applications.
  • Provide technical support and debugging assistance during projects.
  • Evaluate student performance through assignments, coding exercises, assessments, and projects.
  • Mentor students in developing industry-relevant technical skills and portfolios.
  • Stay updated with the latest developments in Generative AI, LLMs, Agentic AI, and AI technologies.
  • Maintain student progress, attendance, assessment records, and feedback.

Technical Skills

  • Python – Strong programming fundamentals
  • Machine Learning – Supervised & Unsupervised Learning, Model Evaluation
  • Deep Learning – ANN, CNN, RNN/LSTM basics
  • Data Science – NumPy, Pandas, Matplotlib, Seaborn
  • Generative AI – LLMs, Prompt Engineering, RAG, Embeddings & Vector Databases
  • Agentic AI – AI Agents, Agent Workflows, Tool Calling & Function Calling
  • AI Agent Frameworks – LangChain, LangGraph, CrewAI / AutoGen
  • GenAI APIs – OpenAI, Gemini, Hugging Face
  • NLP – Basic understanding of NLP and LLM applications
  • Tools – Jupyter Notebook, Google Colab, VS Code, Git/GitHub
  • Database – Basic SQL / MySQL

Required Skills

  • Strong knowledge of Python and AI/ML fundamentals.
  • Practical understanding of Generative AI and LLM concepts.
  • Basic hands-on knowledge of AI Agents / Agentic AI.
  • Ability to develop and demonstrate practical AI/ML projects.
  • Good communication and presentation skills.
  • Passion for teaching, mentoring, and working with students.
  • Strong problem-solving and debugging skills.

Educational Qualification

  • B.E / B.Tech – CSE / IT / AI & ML / Data Science / ECE or related fields.
  • MCA / M.Sc. Computer Science / Data Science / AI & ML can also be considered.

Experience

0–2 Years

Freshers with strong technical knowledge, relevant projects, internships, certifications, and good communication skills are encouraged to apply.

Preferred Experience / Added Advantage

  • Experience in developing GenAI applications
  • RAG-based applications
  • AI chatbot development
  • AI Agent development
  • LangChain / LangGraph / CrewAI / AutoGen
  • OpenAI / Gemini API integration
  • Vector databases
  • GitHub-based projects
  • Previous teaching, mentoring, or training experience

Key Competencies

Technical Knowledge | Practical Implementation | Communication | Training & Mentoring | Problem Solving | Project Guidance

Ideal Candidate

The ideal candidate should be able to Learn → Build → Explain → Demonstrate → Mentor and help students develop practical, industry-oriented skills in AI/ML, Generative AI, and Agentic AI.

Pay: ₹15,000.00 - ₹20,000.00 per month

Benefits:

  • Internet reimbursement

Work Location: In person

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