Trainer Faculty AI Machine Learning Analyst

Trainer / Faculty AI Machine Learning Analyst

Ganpat University | Namo Gujarat Kaushalya and Rojgar Mission (NGKRM)

Position Details

Project: Namo Gujarat Kaushalya and Rojgar Mission (NGKRM)

Implementing Institution: Ganpat University

Sector: IT-ITeS

Qualification Pack: SSC/Q8113

NSQF Level: 5

Vacancies: 5

Job Type: Project / Contractual

Location: Ganpat University / Project Training Centres, Gujarat

About the Role

Ganpat University is seeking qualified and experienced Trainers / Faculty for the AI Machine Learning Analyst role under NGKRM. The selected trainer will deliver hands-on training in Artificial Intelligence, Machine Learning, data preparation, model development and analytical applications.

Key Responsibilities

• Deliver classroom and practical training as per the prescribed Qualification Pack (QP) and curriculum.
• Conduct hands-on sessions, demonstrations, assignments, case studies and project-based learning.
• Prepare training material, presentations, practical exercises and assessment content.
• Conduct periodic tests, practical assessments, assignments and evaluations.
• Monitor trainee attendance, participation, performance and learning progress.
• Identify learning gaps and provide mentoring and remedial support.
• Guide trainees in practical projects and industry-oriented assignments.
• Support employability, interview preparation and industry-readiness activities.
• Maintain attendance, assessment, progress reports and other project documentation.
• Coordinate with project and academic teams for effective implementation of the training program.
• Keep training content aligned with current industry technologies, tools and practices.
• Ensure training delivery complies with applicable NGKRM and Sector Skill Council requirements.
• Explain AI, Machine Learning, statistics and data analytics concepts.
• Train participants in data collection, preprocessing, cleaning and exploratory data analysis.
• Demonstrate supervised and unsupervised learning techniques and model evaluation.
• Guide trainees in developing AI/ML projects and practical portfolios.

Mandatory Eligibility

Educational Qualification: Graduate in Engineering / Technology / Computer Science or a relevant prescribed discipline.

Relevant Experience: Minimum 0-2 years of relevant industry experience in AI / BDA (Artificial Intelligence / Big Data Analytics).

Preferred Technical Skills

• Artificial Intelligence
• Machine Learning
• Python
• Data Analytics
• Big Data Analytics
• Statistics
• Pandas / NumPy
• Scikit-learn
• SQL
• Data Visualization
• Model Evaluation
• Deep Learning fundamentals
• Generative AI / LLM awareness

Preferred Trainer Attributes

• Strong communication and presentation skills.
• Ability to explain technical concepts in a simple and practical manner.
• Industry-oriented and hands-on training approach.
• Strong analytical, problem-solving and mentoring skills.
• Ability to work with students, trainees and fresh graduates.