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REQUIREMENT_ID_1492 โ€ข 3-DAY_ACTIVE_POLICY

Gen AI Developer Associate

Company
Company Hexaware Technologies
Type
Opportunity Type Internship
Salary
Stipend / Salary 5.5 LPA
Location
Location India
Posted Date
Posted Date Yesterday
Python TensorFlow PyTorch scikit-learn Natural Language Processing Generative AI Linear Algebra Probability Statistics Problem Solving Git
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Aptitude Practice Questions Open Resource โ†—
Curated quantitative and logical reasoning problems to sharpen the analytical skills required for the online assessment at Hexaware.
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Interview Experience Insights Open Resource โ†—
Firstโ€‘hand accounts of Hexawareโ€™s recruitment process, helping candidates understand the interview flow and typical questions.
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Comprehensive Preparation Guides Open Resource โ†—
Structured study material covering core computer science topics, interview tips, and resume building for Hexaware aspirants.
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Coding Practice Problems Open Resource โ†—
A large set of algorithmic challenges to improve coding speed and accuracy, essential for the technical round at Hexaware.

Bachelorโ€™s degree in Computer Science, Information Technology, Electronics & Communication, Mathematics, or related engineering discipline; minimum 60% aggregate (or CGPA 6.0/10); batch years 2022โ€‘2025; no active backlogs at the time of joining; strong academic record in core subjects such as data structures, algorithms, probability, and linear algebra.

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Round 1: Online aptitude and coding assessment
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Round 2: Technical interview covering ML concepts, Python coding, and project discussion
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Round 3: HR interview focusing on cultural fit and career aspirations
Hexaware Technologies is a global IT services and consulting firm headquartered in India, known for its focus on digital transformation, cloud, and automation solutions. With a presence in over 30 countries, Hexaware has built a reputation for delivering innovative technology services to Fortune 500 clients across banking, insurance, healthcare, and manufacturing sectors. The company emphasizes a culture of continuous learning, encouraging employees to upโ€‘skill through internal academies, certifications, and exposure to cuttingโ€‘edge projects. Over the past few years, Hexaware has invested heavily in emerging technologies such as artificial intelligence, machine learning, and generative AI, positioning itself as a forwardโ€‘looking employer for tech talent. The Gen AI Developer Associate role is designed for fresh graduates or candidates with up to one year of experience who are eager to dive into the world of generative artificial intelligence. As a member of the AI Solutions team, you will work on building, fineโ€‘tuning, and deploying generative models that power conversational agents, content creation tools, and intelligent automation solutions. You will collaborate with senior data scientists, product managers, and software engineers to translate business problems into AIโ€‘driven products, gaining handsโ€‘on experience with the latest research and industry practices. Key Responsibilities: 1. Design, develop, and test machineโ€‘learning models with a focus on generative AI and natural language processing applications. 2. Perform data preprocessing, feature engineering, and dataset curation for largeโ€‘scale text corpora. 3. Evaluate model performance using appropriate metrics and iterate to improve accuracy, latency, and resource efficiency. 4. Conduct literature reviews and prototype stateโ€‘ofโ€‘theโ€‘art generative architectures such as GPT, BERT, and diffusion models. 5. Write clean, modular, and wellโ€‘documented Python code adhering to bestโ€‘practice standards. 6. Collaborate with crossโ€‘functional teams to integrate AI models into production pipelines and APIs. 7. Assist in deploying models on cloud platforms (AWS, Azure) and monitor their behavior in realโ€‘time environments. 8. Participate in code reviews, knowledgeโ€‘sharing sessions, and internal hackathons to foster a culture of innovation. 9. Stay updated with emerging AI trends and propose new useโ€‘cases that can add value to Hexawareโ€™s service portfolio. 10. Contribute to technical documentation, user guides, and demo presentations for internal and client stakeholders. Tech Stack: Python, TensorFlow, PyTorch, scikitโ€‘learn, Hugging Face Transformers, Docker, Kubernetes, Git, AWS/Azure services, SQL/NoSQL databases. Growth Path: Starting as an Associate, you can progress to AI Engineer, Senior AI Engineer, and eventually AI Architect or Product Lead, with opportunities to lead client engagements and own endโ€‘toโ€‘end AI solutions. Why Join Hexaware: The company offers a vibrant learning ecosystem, exposure to global clients, and a clear career roadmap. Fresh talent gets mentorship from seasoned AI professionals, access to stateโ€‘ofโ€‘theโ€‘art infrastructure, and the chance to work on projects that have real business impact. Hexawareโ€™s commitment to workโ€‘life balance, flexible work arrangements, and employee wellโ€‘being makes it an attractive destination for ambitious technologists.

Hexaware Technologies โ€” AI & Machine Learning Interview Guide

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

APTITUDE & LOGIC ๐Ÿ“–
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 โ†—
COMPANY GUIDE ๐ŸŽฏ
Hexaware Technologies Interview Preparation Corner

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

Open Resource โ†—
MOCK TESTS & PAPERS ๐Ÿ“
Comprehensive Interview Prep Resources & Syllabus

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

Open Resource โ†—
CODING PRACTICE ๐Ÿ’ป
Algorithm and Data Structure Problem Set

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

Open Resource โ†—
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 (Python, TensorFlow, PyTorch, scikit-learn, Natural Language Processing, Generative AI, Linear Algebra, Probability, Statistics, Problem Solving, Git) & 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
Hexaware Technologies 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 โ–ผ
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 โ–ผ
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 โ–ผ
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 โ–ผ
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 Hexaware Technologies as a Gen AI Developer Associate?
Preparation Tip: Highlight Hexaware Technologies's market reputation, recent tech innovations, and how your skills in Python 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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