Gen AI Developer Associate

Hexaware's interview process typically begins with a timed online assessment covering quantitative aptitude, logical reasoning, and a short coding segment. The technical interview dives deep into machine‑learning fundamentals, Python coding, and project discussions, often featuring scenario‑based questions. The final HR round assesses cultural fit, communication skills, and career aspirations. Preparation should focus on core ML concepts, coding efficiency, and clear articulation of past projects.

Hexaware promotes a collaborative work culture with a strong emphasis on continuous upskilling and work‑life balance. Employees benefit from flexible work‑from‑home options, regular tech‑talks, and clear growth pathways, making it an attractive destination for fresh talent.

Bachelor’s degree in Computer Science, Information Technology, Electronics & Communication, Mathematics, or related engineering discipline; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2022‑2025; no active backlogs at the time of joining; strong academic record in programming, data structures, and mathematics.

Round 1: Online Assessment (Aptitude + Coding) → Round 2: Technical Interview (ML concepts, projects, coding) → Round 3: HR Interview (fit, motivation, salary discussion)

Hexaware Technologies is a global IT services company headquartered in Mumbai, India. With over three decades of experience, Hexaware has built a strong reputation for delivering innovative digital, cloud, and automation solutions to Fortune 500 clients across banking, insurance, healthcare, and manufacturing. The company prides itself on a culture of continuous learning, encouraging employees to experiment with emerging technologies such as AI, machine learning, and robotics. Hexaware’s commitment to sustainability and inclusive growth has earned it multiple industry recognitions and a steady pipeline of projects that keep its talent engaged and future‑ready. 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 fast‑evolving world of generative AI. As a member of the AI Solutions team, you will work under senior AI engineers to design, develop, and deploy machine‑learning models that power natural language processing (NLP) and content generation applications. This position offers a hands‑on environment where you can translate theoretical knowledge into real‑world solutions, contributing to products that may be used in chatbots, document summarisation, code generation, and more. Key Responsibilities: 1. Design, train, and fine‑tune generative AI models (e.g., GPT‑style transformers) for NLP tasks. 2. Perform data collection, cleaning, and preprocessing to build high‑quality training datasets. 3. Conduct feature engineering and experiment with model architectures to improve performance. 4. Evaluate models using metrics such as BLEU, ROUGE, and perplexity, and iterate based on results. 5. Write clean, modular, and well‑documented Python code adhering to best practices. 6. Collaborate with cross‑functional teams (product, UI/UX, DevOps) to integrate AI models into production pipelines. 7. Assist in containerising models with Docker and deploying them on cloud platforms (AWS/GCP/Azure). 8. Stay updated with the latest research papers and open‑source advancements in generative AI and NLP. 9. Participate in code reviews, knowledge‑sharing sessions, and internal hackathons. 10. Contribute to documentation, user guides, and post‑deployment monitoring. Tech Stack: Python, TensorFlow / PyTorch, Hugging Face Transformers, scikit‑learn, Docker, Kubernetes, REST APIs, Git, AWS/GCP. 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‑facing projects and mentor junior talent. Why Join Hexaway? Hexaware offers a structured learning ecosystem, mentorship from industry veterans, and exposure to global clients. The company’s focus on AI innovation ensures you will work on cutting‑edge projects, while its employee‑first policies provide flexible work arrangements, competitive compensation, and clear career advancement tracks.