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Data Science Trainer ( Instructor )

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Onsite

Data Science Trainer ( Instructor )

Nearlearn

Data Science Trainer ( Instructor )

Skills

Google Cloud PlatformDeep LearningPythonData ScienceMachine LearningAIAWSGitHubNLP / Natural Language ProcessingAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹225,000 – ₹300,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

8 August 2026

What they need


Position: AI Trainer / AI Instructor

Employment Type: Full-Time / Part-Time / Contract
Experience: 3+ Years in AI/ML Training or Industry Experience
Location: Bangalore

About the Role

We are looking for an experienced and passionate AI Trainer to deliver high-quality, practical training programs in Artificial Intelligence, Machine Learning, Generative AI, and related technologies. The trainer will be responsible for conducting interactive sessions, developing training materials, guiding learners through hands-on projects, and ensuring participants gain practical industry-ready skills.

Key Responsibilities

  • Conduct instructor-led training sessions on Artificial Intelligence and Machine Learning.
  • Deliver training on Generative AI, LLMs, Prompt Engineering, and AI tools.
  • Explain technical concepts clearly using practical examples and real-world use cases.
  • Develop and deliver course content, presentations, assignments, exercises, and assessments.
  • Conduct live coding sessions, demonstrations, labs, and hands-on activities.
  • Guide students through projects, case studies, datasets, and real-world problem statements.
  • Evaluate learner performance through assignments, quizzes, projects, and assessments.
  • Provide feedback and mentoring to learners throughout the training program.
  • Stay updated with the latest developments in AI, GenAI, LLMs, Agentic AI, and AI development tools.
  • Customize training content based on client/student requirements.
  • Participate in trainer evaluation, technical discussions, demo sessions, and curriculum planning.
  • Support learners in understanding industry practices and preparing for AI-related job roles.
  • Maintain training quality, learner engagement, attendance, and session documentation.

Preferred Technical Skills

  • Artificial Intelligence & Machine Learning
  • Python Programming
  • Data Science fundamentals
  • Deep Learning
  • NLP and Computer Vision
  • Generative AI & Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • AI Agents / Agentic AI
  • LangChain / LlamaIndex or similar frameworks
  • OpenAI / Claude / Gemini or other LLM platforms
  • Vector Databases
  • Model APIs and AI application development
  • Git/GitHub
  • Cloud platforms such as AWS, Azure, or Google Cloud

Teaching & Communication Skills

  • Strong presentation and communication skills.
  • Ability to explain complex technical concepts in a simple and structured manner.
  • Strong classroom management and learner engagement skills.
  • Ability to conduct interactive, practical, and project-based training.
  • Good mentoring and problem-solving abilities.
  • Comfortable working with beginners as well as experienced professionals.

Qualification

  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, or a related field.
  • Relevant industry certifications or training certifications are an added advantage.

Experience

  • 3+ years of experience in AI/ML training, technical training, or relevant industry experience.
  • Experience delivering corporate training, academic training, or professional upskilling programs is preferred.
  • Hands-on experience working on real-world AI/ML or Generative AI projects is highly desirable.

Key Performance Expectations

  • Deliver engaging and technically accurate training sessions.
  • Ensure learners achieve practical understanding of the concepts taught.
  • Complete the training curriculum within the agreed timeline.
  • Maintain high learner satisfaction and training quality.
  • Provide practical assignments, projects, and assessments aligned with industry requirements.

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