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REQUIREMENT_ID_1348 β€’ 3-DAY_ACTIVE_POLICY

Gen AI Developer Associate

Company
Company Hexaware Technologies
Type
Opportunity Type Internship
Salary
Stipend / Salary 3.5 LPA
Location
Location India
Posted Date
Posted Date Yesterday
Python Machine Learning Deep Learning Natural Language Processing TensorFlow PyTorch scikit-learn Data Preprocessing Linear Algebra Probability Statistics Problem Solving Team Collaboration
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Aptitude Practice Questions Open Resource β†—
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 β†—
First‑hand accounts of Hexaware’s recruitment process, helping candidates understand the interview flow and prepare effectively.
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Comprehensive Preparation Guides Open Resource β†—
Structured study material covering core CS concepts, coding patterns, and interview strategies useful for Hexaware interviews.
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Coding Problems Repository Open Resource β†—
A large collection of algorithmic challenges to practice coding proficiency, essential for the technical round at Hexaware.

Bachelor’s degree in Computer Science, Information Technology, Electronics, Mathematics, or related engineering discipline; minimum 60% aggregate (or CGPA 6.0/10); final year students or fresh graduates of the 2022‑2025 batches; no active backlogs at the time of joining; strong academic record in programming, mathematics, and statistics.

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Round 1: Online Aptitude & Coding Test
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Round 2: Technical Interview (ML/NLP concepts, coding, project discussion)
3
Round 3: HR Interview (fitment, communication, expectations)
Hexaware Technologies is a global IT services and consulting firm headquartered in India, known for its focus on digital transformation, automation, and cloud solutions. With a presence in over 30 countries, Hexaware serves clients across banking, insurance, healthcare, and manufacturing, helping them adopt emerging technologies to stay competitive. The company prides itself on a culture of continuous learning, encouraging employees to experiment with cutting‑edge tools such as AI, machine learning, and robotic process automation. Over the years, Hexaware has earned multiple industry awards for innovation and employee satisfaction, making it an attractive destination for fresh talent looking to grow in a supportive environment. The Gen AI Developer Associate role is designed for recent 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, fine‑tuning, and deploying generative models for natural language processing (NLP) tasks, chat‑bots, content creation, and other innovative applications. You will collaborate closely with senior AI engineers, data scientists, and product managers to translate business problems into scalable AI solutions. Key Responsibilities: 1. Design, develop, and test machine‑learning models with an emphasis on generative AI and NLP. 2. Perform data collection, cleaning, preprocessing, and feature engineering for text‑based datasets. 3. Evaluate model performance using appropriate metrics and iterate to improve accuracy and efficiency. 4. Conduct literature reviews and experiment with state‑of‑the‑art generative architectures such as GPT, BERT, and diffusion models. 5. Write clean, modular, and well‑documented Python code adhering to best practices. 6. Collaborate with cross‑functional teams to integrate AI models into production pipelines. 7. Assist in deploying models on cloud platforms (AWS, Azure) and monitor their performance in real‑time. 8. Participate in code reviews, knowledge‑sharing sessions, and internal hackathons. 9. Stay updated with the latest research papers, open‑source libraries, and industry trends. 10. Contribute to the creation of technical documentation and user guides for AI solutions. Tech Stack: Python, TensorFlow / PyTorch, scikit‑learn, Hugging Face Transformers, Docker, Kubernetes, AWS/Azure, Git, SQL/NoSQL. Growth Path: Starting as an Associate, high performers can progress to AI Engineer, Senior AI Engineer, and eventually AI Lead or Solution Architect, with opportunities to specialize in research, product development, or client consulting. Why Join Hexaware: The company offers a vibrant learning ecosystem, mentorship from seasoned AI professionals, and exposure to real‑world projects for Fortune‑500 clients. Competitive compensation, flexible work‑from‑home policies, and a strong emphasis on work‑life balance make Hexaware an ideal launchpad for a career in generative AI.

Hexaware Technologies 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 🎯
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 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 (Python, Machine Learning, Deep Learning, Natural Language Processing, TensorFlow, PyTorch, scikit-learn, Data Preprocessing, Linear Algebra, Probability, Statistics, Problem Solving, Team Collaboration) & 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 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 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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