Master Trainer – AI & Data Analytics

Job Description – Master Trainer

Role: College Mobilisation & Training

Role Purpose

• The Master Trainer will
• play a dual role of College Coordinator and Trainer, with end-to-end
• responsibility for college engagement, student mobilisation, counselling,
• training delivery. The role will focus on building a continuous pipeline of
• students from colleges, preparing them for training, independently delivering
• assigned modules, and supporting student retention, completion and employment
• readiness.

Key Responsibility Areas

• College Engagement & Partnership Development

• Identify and establish relationships with colleges,
• ITIs and other educational institutions in the assigned geography. Meet
• College Principals, TPOs, Placement Officers, faculty and relevant SPOCs
• to introduce and promote the programme.
• Develop and maintain strong relationships with
• college SPOCs to ensure continuous student mobilisation. Plan and conduct
• college visits, programme orientations, presentations and awareness
• sessions. Identify new colleges and institutions to expand the student
• pipeline.
• Be willing to travel as required by the project for college engagement, mobilisation, orientations and training
• activities.

• Student Mobilisation & Counselling

• Conduct student orientation, career counselling and
• programme awareness sessions.
• Explain programme benefits, eligibility, training
• schedule, career opportunities and expectations to students.
• Follow up with interested students and convert
• leads into registrations/enrolments.
• Ensure students are appropriately counselled before
• joining the programme to minimise dropouts.

• Batch Formation & Training Readiness

• Plan batches based on the student pipeline and
• project requirements.
• Coordinate with the Centre Team for batch creation,
• documentation, scheduling and other operational requirements.
• Ensure students complete the required enrolment and
• documentation within timelines.
• Maintain a continuous pipeline so that the next
• batch is ready while the current batch is under training.

• Training Delivery

Independently deliver training as per the approved

curriculum, session plans and quality standards.

Primary training modules will include

• AI and Digital Productivity
• Foundational Knowledge of Data Analytics
• Conduct practical activities, assessments,
• exercises and learner engagement activities.
• Monitor attendance, participation, learning
• progress and student performance.
• Ensure timely completion of assigned training
• batches.
• Maintain training quality and ensure effective
• learner engagement throughout the programme.

• Placement & Career Readiness Support

• Work closely with the Placement Team to prepare
• students for employment opportunities.
• Support employability, interview preparation and
• career guidance.
• Encourage participation in placement drives.
• Track student interest and readiness for
• employment.
• Support post-training follow-up wherever required.

• Centre Operations & MIS

• Maintain accurate student, batch, attendance,
• training and outcome-related records.
• Prepare required reports and provide regular
• updates to the Project/Centre Team.
• Support centre activities, events, audits,
• documentation and other operational requirements.
• Coordinate with Facilitators and Centre Team
• members wherever additional support is required.

• Community & Outreach Activities

Support

• local outreach activities to increase programme visibility and student
• participation. Participate in career fairs, college events, community
• events and other mobilisation activities.

Develop

• local networks with relevant stakeholders to strengthen student
• mobilisation. Identify new outreach channels to increase registrations and
• enrolments.

Qualification & Experience

• Education: Graduate in any relevant discipline. Preferable candidates with a
• background in IT, Computer Applications, Data Analytics, Management or
• related fields will be preferred.
• Experience: Minimum 3 years of relevant work experience, preferably in
• training, teaching, employability programmes, digital skills, college
• engagement or student mobilisation.

Training

• Exposure: Prior experience in training/facilitation is mandatory,
• with the ability to independently conduct classroom/online training for
• college students or young learners.

Technical

Knowledge: Good working knowledge of AI and Digital Productivity

tools, along with foundational knowledge of Data Analytics.

Should

• be comfortable learning and delivering new-age digital tools, technologies
• and concepts.
• Mobility: Should be willing and comfortable to travel and mobilise
• colleges/students as per project requirements, including visits to
• colleges, institutions and other outreach locations.