Trainer Faculty AI Machine Learning Analyst

Ganpat University; Mahesana; On-site; INR 400,000 - 560,000; Part time

Job summary

Ganpat University is seeking qualified Trainers 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.

You will conduct classroom and practical sessions, prepare training materials, assessments and keep content aligned with NGKRM requirements to ensure industry readiness.

Qualifications

• Graduate in Engineering/Technology/CS or related discipline.
• 0-2 years of relevant AI/BDA industry experience.

Responsibilities

• Deliver classroom and practical training as per the prescribed curriculum.
• Conduct hands-on sessions, demonstrations, assignments, case studies and project-based learning.
• Prepare training material, presentations, practical exercises and assessments.
• Conduct periodic tests, practical assessments and evaluations.
• Monitor trainee attendance, participation and learning progress.
• Mentor learners and guide industry-oriented projects.

Skills

Artificial Intelligence

Machine Learning

Python

Data Analytics

Big Data Analytics

Statistics

Pandas/NumPy

Scikit-learn

SQL

Data Visualization

Model Evaluation

Deep Learning

Generative AI/LLM

Education

Graduate in Engineering / Technology / Computer Science

Job description

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.