Netsmartz Academy is looking for a technically strong and industry-experienced Microsoft Certified AI Data Trainer who is an ACTIVE MICROSOFT CERTIFIED TRAINER (MCT). The candidate must have hands-on industry experience in Artificial Intelligence, Data, Machine Learning, Generative AI and Microsoft Azure AI technologies and should be capable of delivering Microsoft-aligned, certification-oriented and practical training.

Mandatory MCT Microsoft Certification Requirements

The following requirements are mandatory for this role:

- Active Microsoft Certified Trainer (MCT) status - MANDATORY
- AI-901 - Azure AI Fundamentals - MANDATORY
- AI-103 - Azure AI Engineer Associate - MANDATORY
- AB-100 - Azure AI Business Professional - MANDATORY

Good to Have: DP-900 - Azure Data Fundamentals

Important: The candidate must have a valid/current MCT status at the time of joining. Certification alone is not sufficient; solid hands-on implementation and real-world project experience are mandatory.

Key Responsibilities

- Deliver structured and engaging training on AI, Data, Machine Learning, Generative AI and Microsoft Azure AI.

- Deliver Microsoft certification-oriented training aligned with relevant Microsoft learning objectives.

- Conduct theoretical and hands-on practical sessions.

- Conduct live coding, technical demonstrations, labs, assignments and assessments.

- Mentor students in developing real-world AI and Data projects.

- Prepare learners for Microsoft certification examinations.

- Conduct technical workshops, webinars, seminars and corporate training.

- Keep training content aligned with the latest Microsoft technologies, certification updates and industry trends.

- Evaluate student performance and provide technical feedback.

- Collaborate with academic and management teams to improve course content and learner outcomes.

Mandatory Technical Skills

Microsoft Azure AI

- Azure AI Services

- Azure Machine Learning

- Azure OpenAI / Generative AI

- AI solution development

- Microsoft Azure AI ecosystem

Artificial Intelligence Machine Learning

- Machine Learning fundamentals

- Supervised and Unsupervised Learning

- Scikit-learn





- Deep Learning fundamentals

- NLP and/or Computer Vision

- Generative AI

- Large Language Models (LLMs)

- Prompt Engineering

- AI application development

- AI agents / agentic AI concepts

Data

- Python

- SQL

- Pandas and NumPy

- Data Analysis and Data Visualization

- Data Cleaning and Pre-processing

- Statistics and Data Fundamentals

- Databases

- Power BI / Tableau

- Basic Data Engineering concepts

Tools Development

- Git / GitHub

- Jupyter / VS Code

- APIs

- Basic software development practices

Required Industry Experience

- Minimum 3 years of hands-on industry experience in AI, Data Science, Machine Learning, Data Analytics, AI Engineering or a closely related technical field.

- Real-world AI/Data project implementation experience is mandatory.

- Candidate should be able to explain project contribution, architecture, tools used, implementation approach and business use case.

- Prior experience as an AI Engineer, ML Engineer, Data Scientist, Data Analyst, AI Consultant, Azure AI Engineer or Technical Trainer is preferred.

- Prior experience delivering Microsoft technology training is strongly preferred.

- Experience working with students, fresh graduates, working professionals or corporate learners is an added advantage.

Training Communication Skills

- Excellent communication and presentation skills.

- Strong classroom and learner engagement skills.

- Ability to simplify complex technical concepts.

- Comfortable conducting live coding and technical demonstrations.

- Ability to deliver certification-oriented training.

- Ability to conduct workshops, webinars and seminars confidently.

- Strong mentoring, problem-solving and interpersonal skills.

Project Technical Assessment





Candidates may be required to:

- Provide proof/verification of current MCT status.

- Conduct a technical demo / sample lecture.

- Explain one or more real-world AI/Data projects.

- Demonstrate live coding or practical implementation.

- Explain experience with Microsoft Azure AI technologies.

- Demonstrate understanding of AI-901, AI-103 and AB-100 domains.

- Design a sample practical assignment or capstone project.

Key Selection Criteria

1. Active Microsoft Certified Trainer (MCT) status - MANDATORY
2. AI-901 certification - MANDATORY
3. AI-103 certification - MANDATORY
4. AB-100 certification - MANDATORY
5. DP-900 certification - Good to Have
6. 3+ years of hands-on industry experience
7. Real-world AI/Data project implementation experience
8. Strong Microsoft Azure AI and Generative AI knowledge
9. Strong training, mentoring and classroom delivery capability
10. Excellent communication and presentation skills

Educational Qualification

Bachelors/Masters degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics/Statistics or another relevant technical discipline. Relevant industry experience, Microsoft certifications and MCT status will be given significant importance.

Ideal Candidate Profile

The ideal candidate is an active Microsoft Certified Trainer (MCT) with strong Microsoft AI certifications, hands-on industry experience and proven ability to train learners on practical AI, Data and Azure technologies.

Ideal combination: Active MCT + AI-901 + AI-103 + AB-100 + 3+ Years Industry Experience + Real-World AI/Data Projects + Strong Training Skills.

Candidates who do not hold active MCT status or who have only theoretical/academic knowledge without practical AI/Data project implementation experience will not be preferred.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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