About Tata Motors

Tata Motors is a major Indian automotive company and part of the Tata Group. The company operates across passenger vehicles, commercial vehicles and mobility solutions and has a strong focus on engineering, manufacturing, technology and innovation.

For engineering graduates, Tata Motors offers opportunities to gain practical industry exposure and understand how engineering concepts are applied in real-world automotive and manufacturing environments.

Job Title

Graduate Apprentice Trainee

Company: Tata Motors
Experience: Freshers
Role Type: Apprenticeship
Duration: 1 Year
Stipend: ₹25,000 per month
Last Date to Apply: 5 October 2026

Job Overview

Tata Motors is inviting applications from 2026 BE/BTech engineering graduates for its Graduate Apprentice Trainee Programme.

As a Graduate Apprentice Trainee, candidates will get an opportunity to gain practical exposure to industry processes and work alongside experienced professionals. The programme is designed to help fresh engineering graduates apply their academic knowledge to real-world engineering and business challenges.

Candidates will get exposure to professional working environments while developing technical knowledge, problem-solving abilities and workplace skills.

Eligibility Criteria

Candidates should meet the following requirements:

• BE/BTech degree in Engineering
• Graduated in 2026
• Minimum 60% throughout academics
• No active ATKT or backlogs
• Candidates from relevant engineering specializations can apply

Eligible Specializations

The opportunity is open to graduates from areas including:

• Automobile Engineering
• Mechanical Engineering
• Mechatronics Engineering
• Electrical Engineering
• Electronics Engineering
• Production Engineering
• Manufacturing Engineering
• Computer Science Engineering
• Artificial Intelligence
• Artificial Intelligence & Machine Learning
• Data Science
• Cyber Security
• Civil Engineering

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Roles and Responsibilities

As a Graduate Apprentice Trainee, your responsibilities may include:

1. Engineering & Technical Support

• Assist experienced engineers with day-to-day technical activities.
• Apply engineering concepts learned during graduation to practical assignments.
• Support technical teams in analysing and resolving engineering-related problems.

2. Manufacturing & Production Exposure

• Understand manufacturing processes, production workflows and quality practices.
• Assist teams in monitoring and improving operational processes.
• Follow established safety, quality and operational procedures.

3. Project Support

• Contribute to assigned engineering and business projects.
• Collect and analyse relevant information required for project activities.
• Prepare basic reports, documentation and presentations.

4. Problem Solving

• Identify issues within assigned tasks and support teams in finding solutions.
• Use analytical and logical thinking to understand technical challenges.
• Participate in continuous improvement activities.

5. Data & Technology Support

For candidates from Computer Science, AI, Data Science and related disciplines:

• Work with data and technology-based assignments where applicable.
• Assist with data analysis and reporting.
• Apply programming, analytical or AI/ML concepts to relevant projects.
• Support digital and technology initiatives within assigned teams.

6. Collaboration & Learning

• Work with cross-functional teams and experienced professionals.
• Participate in training and learning activities.
• Communicate project updates and technical information effectively.
• Take feedback from mentors and continuously improve technical and professional skills.

7. Safety & Compliance

• Follow company policies and workplace procedures.
• Maintain professional standards while working in the organisation.
• Follow applicable safety and quality guidelines.

Required Skills

Technical Skills

Depending on the engineering discipline, candidates should have:

• Strong engineering fundamentals
• Basic knowledge of their respective engineering domain
• Analytical and problem-solving skills
• Basic computer proficiency
• Ability to understand technical documentation
• Willingness to learn new technologies and processes

For CS / AI / Data Candidates

Knowledge of some of the following can be useful:

• Programming fundamentals
• Python
• Data Structures and Algorithms
• SQL
• Data Analysis
• Machine Learning fundamentals
• Artificial Intelligence concepts
• Basic understanding of software development

Soft Skills

• Good communication skills
• Teamwork and collaboration
• Problem-solving mindset
• Willingness to learn
• Time management
• Attention to detail
• Adaptability
• Professional attitude

What Candidates Can Gain

Through the Graduate Apprentice Trainee programme, candidates can gain exposure to:

• Real-world engineering projects
• Industry working practices
• Manufacturing and automotive processes
• Professional workplace environments
• Technical problem solving
• Mentoring from experienced professionals
• Cross-functional teamwork
• Practical application of engineering knowledge

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Who Should Apply?

This opportunity is relevant for 2026 BE/BTech graduates who:

• Want to start their engineering career with industry exposure
• Want practical experience after graduation
• Are interested in automotive, manufacturing, engineering or technology
• Want to work with experienced industry professionals
• Are willing to learn and take responsibility for assigned projects

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