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REQUIREMENT_ID_197 β€’ 3-DAY_ACTIVE_POLICY

Graduate Trainee – Mechanical/Electrical Engineering

Company
Company Tech Mahindra
Type
Opportunity Type Internship
Salary
Stipend / Salary 3.25 LPA
Location
Location Chennai, Pune, Bangalore
Posted Date
Posted Date Today
SolidWorks AutoCAD CATIA Creo Siemens NX GD&T FEA engineering calculations manufacturing processes material selection analytical thinking problem solving communication teamwork electrical schematics circuit simulation power system design component selection
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Aptitude Practice Questions Open Resource β†—
Curated quantitative and logical reasoning problems to help you ace the initial aptitude test.
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Interview Preparation Guide Open Resource β†—
Comprehensive guide covering common interview formats, tips and sample answers for freshers.
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Technical Interview Resources Open Resource β†—
Focused material on core engineering concepts, CAD tools and electrical design fundamentals.
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Coding Practice Problems Open Resource β†—
Problem‑set to sharpen logical thinking and algorithmic skills useful for technical assessments.

Bachelor’s degree in Mechanical Engineering or Electrical & Electronics Engineering (B.E/B.Tech). Minimum 60% (or 6 CGPA) in SSC/10th, HSC/12th (or Diploma) and BE/B.Tech without rounding up. Candidates must be graduating in 2024 or 2025 with no backlogs. Must have a consolidated marksheet or provisional degree certificate at the time of offer. No gap of more than one year between SSC and the start of the undergraduate programme, and no loss of academic year after joining.

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Round 1: Aptitude Test & English Essay/Story
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Round 2: Communication Test
3
Round 3: Technical Interview
4
Round 4: HR Interview
Tech Mahindra, a global leader in digital transformation, consulting and business re‑engineering services, has built a reputation for delivering cutting‑edge solutions across industries such as telecom, automotive, BFSI, and healthcare. With a presence in more than 90 countries and a workforce of over 130,000 professionals, the company fosters a culture of continuous learning, innovation and customer centricity. As part of its Graduate Trainee programme, Tech Mahindra offers fresh engineering graduates an accelerated entry point into the world of high‑impact product development and system integration. The Graduate Trainee role is designed for candidates from Mechanical or Electrical & Electronics Engineering backgrounds who are eager to apply theoretical knowledge to real‑world challenges. Trainees will be posted at Tech Mahindra development centres in Chennai, Pune or Bangalore and will work on a variety of client projects ranging from manufacturing automation to power distribution systems. The programme combines classroom training, on‑the‑job mentorship and exposure to cross‑functional teams, ensuring a holistic development experience. Key responsibilities include: 1. Designing mechanical components, assemblies and systems using industry‑standard CAD tools. 2. Preparing detailed engineering drawings and BOMs. 3. Conducting performance analysis, FEA and GD&T checks to validate designs. 4. Supporting manufacturing, installation and commissioning activities on the shop floor. 5. Performing root‑cause analysis for equipment failures and recommending corrective actions. 6. Driving cost‑reduction initiatives and improving production efficiency. 7. Ensuring compliance with safety standards, industry codes and internal quality procedures. 8. Collaborating with production, quality, procurement and maintenance teams. 9. Preparing technical documentation, reports and design specifications. 10. Evaluating new materials, technologies and manufacturing methods for potential adoption. The technical stack revolves around CAD platforms such as SolidWorks, AutoCAD, CATIA, Creo and Siemens NX, complemented by simulation tools for FEA and GD&T. Trainees will also gain exposure to electrical design software, circuit simulation, and power system analysis tools. Career growth is structured: after a 6‑month probation, successful trainees can progress to Engineer – Design, Engineer – Validation, or Project Engineer roles, with clear pathways to senior engineering and managerial positions. The programme’s blend of technical depth, cross‑functional exposure and mentorship makes it an ideal launchpad for ambitious graduates seeking a fast‑track engineering career at a globally recognised IT services firm. Why join? Apart from a competitive CTC of 3.25β€―LPA, the role offers hands‑on experience with leading‑edge technologies, a vibrant learning environment, and the chance to work on projects that shape the future of manufacturing and power systems across India and abroad.

Tech Mahindra β€” AI & Machine Learning Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Tech Mahindra Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Tech Mahindra and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (SolidWorks, AutoCAD, CATIA, Creo, Siemens NX, GD&T, FEA, engineering calculations, manufacturing processes, material selection, analytical thinking, problem solving, communication, teamwork, electrical schematics, circuit simulation, power system design, component selection) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Tech Mahindra Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer β–Ό
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer β–Ό
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer β–Ό
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Tech Mahindra as a Graduate Trainee – Mechanical/Electrical Engineering?
Preparation Tip: Highlight Tech Mahindra's market reputation, recent tech innovations, and how your skills in SolidWorks directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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