Machine Learning Trainer

Job description

Company Description

Sapio Analytics, operating as the Nodal Agency of Saksham (Government of India), is dedicated to ending unemployment in India using Artificial Intelligence. As the owner of Neural Ocean, one of the largest intelligent data lakes of low-income workforce of developing economies, Sapio Analytics leverages data-driven solutions to address critical socio-economic issues. Our goal is to create sustainable impact and drive innovation in employment and workforce management.

Eligibility Criteria:

The candidate must fulfill any one of the following qualifications:

B.E./B.Tech in Electronics, Telecommunications, Information Technology, or other relevant fields

OR

Graduate in a relevant field with at least 1 year of relevant experience

OR

Diploma (3 years after Class 12th) in Electronics, Telecommunications, Information Technology, or other relevant fields with at least 1 year of relevant experience

OR

Class 10th + ITI (2 years) in Electronics, Telecommunications, Information Technology, or other relevant fields with at least 4 years of relevant experience

OR

Class 12th Pass with at least 4 years of relevant experience

Key Responsibilities:

Deliver training sessions to students on core topics in Electronics, Telecom, or IT as per the curriculum

Prepare training materials, lesson plans, and evaluation tools

Facilitate both theoretical and practical learning sessions

Assess student performance through assignments, assessments, and feedback

Ensure training quality and maintain discipline in the classroom

Maintain training records and report progress to the Training Manager

Guide and mentor students towards employability and skill enhancement

Key Skills:

In-depth knowledge of Electronics/Telecom/IT concepts

Strong presentation and classroom management skills

Ability to explain complex topics in a simple and engaging way

Basic computer proficiency (MS Office, presentations, etc.)

Good communication and interpersonal skills

Industry

Software Development

Employment Type

Part-time