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REQUIREMENT_ID_1788 • 3-DAY_ACTIVE_POLICY JD

Digital Specialist Engineer (Trainee)

Company
Company Infosys
Type
Opportunity Type Internship
Salary
Stipend / Salary ₹ 7 LPA
Location
Location Bengaluru, India
Posted Date
Posted Date Today
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Fullstack Development Java Artificial Intelligence Scala Machine Learning Python
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Aptitude Practice Questions Open Resource ↗
Curated aptitude problems to sharpen quantitative and logical reasoning needed for the online assessment at Naukri.com.
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Technical Interview Preparation Guide Open Resource ↗
Comprehensive guide covering coding patterns, system design basics, and common technical questions asked by Naukri.com recruiters.
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Interview Experience and Tips Open Resource ↗
First‑hand experiences and actionable tips from candidates who have cleared Naukri.com interview rounds.
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Coding Practice Platform Open Resource ↗
Extensive problem set to practice algorithmic coding, essential for the coding round of Naukri.com hiring process.

UG/PG graduates of 2024, 2025 or 2026. Degrees accepted: B.Tech/B.E., MCA, M.Tech, MS/M.Sc in any specialization. Minimum aggregate 60% (or CGPA 6.0/10). No active backlogs at the time of joining. Up to 2 years of relevant experience is permissible, but freshers are also encouraged to apply.

1
Round 1: Online Assessment (aptitude + coding)
2
Round 2: Technical Interview (design, coding, problem solving)
3
Round 3: HR Interview (fit, motivations, compensation).
Infosys is a global leader in next‑generation digital services and consulting, operating in 46 countries with a workforce of over 300,000 professionals. The company has built a reputation for delivering end‑to‑end solutions that combine deep industry knowledge with cutting‑edge technologies such as AI, cloud, and automation. Its culture of continuous learning, backed by an extensive internal academy, enables employees to stay ahead of the technology curve while contributing to large‑scale transformation projects for Fortune‑500 clients. With a strong emphasis on sustainability and social responsibility, Infosys consistently ranks among the top employers in India and worldwide. The Digital Specialist Engineer (Trainee) role is designed for fresh graduates who are eager to apply their programming skills to real‑world digital solutions. As a trainee, you will be part of a cross‑functional team that designs, develops, validates, and supports full‑stack applications across various domains. You will work under the guidance of senior architects and engineers, gaining exposure to the complete software development lifecycle – from requirement analysis to production support. The position offers a clear growth trajectory, moving from trainee to full‑fledged Digital Specialist Engineer, and eventually to senior technical or managerial roles within Infosys’s expansive ecosystem. **Key Responsibilities** 1. Analyze functional and non‑functional requirements gathered from business analysts. 2. Design and develop full‑stack components using Java, Python, Scala and related frameworks. 3. Write clean, modular code and maintain comprehensive documentation. 4. Create and execute unit test scripts; participate in code reviews for self and peers. 5. Perform functional, integration, system and user‑experience validation as per test plans. 6. Identify, log, and resolve defects discovered during testing and UAT. 7. Contribute to automation scripts and setup configurations for continuous integration. 8. Support go‑live activities, ensuring smooth deployment according to implementation plans. 9. Respond to production incidents, troubleshoot issues, and provide timely resolutions with stakeholder inputs. 10. Participate in knowledge‑management activities, documenting best practices and lessons learned. **Tech Stack**: Java, Python, Scala, Spring Boot, React/Angular (front‑end), RESTful APIs, Docker, Kubernetes, Git, CI/CD pipelines, AI/ML libraries. **Growth Path**: Trainee → Digital Specialist Engineer → Senior Engineer → Lead Engineer → Solution Architect → Project Manager. Infosys’s internal mobility program encourages lateral moves across domains, fostering a versatile skill set. **Why Join**: Competitive salary of ₹7 LPA with a ₹75,000 joining bonus, exposure to cutting‑edge digital projects, mentorship from industry veterans, and a culture that rewards innovation and continuous upskilling. The role offers a blend of technical depth and business impact, making it an ideal launchpad for a thriving career in software engineering.

Infosys — AI & Machine Learning Interview Guide

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

APTITUDE & LOGIC 📖
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 ↗
COMPANY GUIDE 🎯
Infosys Interview Preparation Corner

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

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

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

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

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

Open Resource ↗
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 (Fullstack Development, Java, Artificial Intelligence, Scala, Machine Learning, Python) & 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
Infosys 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 ▼
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 ▼
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 ▼
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 ▼
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 Infosys as a Digital Specialist Engineer (Trainee)?
Preparation Tip: Highlight Infosys's market reputation, recent tech innovations, and how your skills in Fullstack Development 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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