Associate Engineer

Magnit’s interview process usually starts with a timed online aptitude test, followed by a technical interview that probes your understanding of machine‑learning fundamentals, Python coding and problem‑solving ability. The final HR round assesses cultural fit, communication skills and career aspirations. Preparation on ML basics, coding practice and mock aptitude tests greatly improves success chances.

Magnit promotes a collaborative, fast‑paced environment where innovation is rewarded and learning is continuous. Employees enjoy a healthy work‑life balance, flexible remote options and clear growth pathways supported by regular feedback and mentorship.

B.Tech/B.E. or B.Sc. in Computer Science, Information Technology, Electronics, or related engineering discipline; Minimum 60% aggregate (or CGPA 6.0/10); Final year students of 2025, 2026 or 2027 batches; No active backlogs at the time of joining; Strong problem‑solving aptitude and willingness to learn.

Round 1: Online aptitude test (logical reasoning, quantitative, verbal) → Round 2: Technical interview (ML concepts, coding on Python, problem solving) → Round 3: HR interview (fitment, motivation, salary expectations)

Magnit has been a cornerstone of modern workforce management for more than three decades, serving hundreds of globally recognised brands. The company’s Integrated Workforce Management (IWM) platform blends data, software, intelligence and premium services to help clients navigate economic shifts, scale operations, and achieve strategic talent goals. With a culture that prizes innovation, collaboration and continuous learning, Magnit empowers its employees to build solutions that transform how the world works. The firm’s rapid expansion into AI‑driven automation positions it at the forefront of the next generation of work technology. The role of Associate Engineer is crafted for fresh graduates who are enthusiastic about artificial intelligence, machine learning and large language models. As a member of the AI/ML team, you will get hands‑on exposure to real‑world projects that automate critical business processes across domains such as document processing, predictive analytics and conversational agents. Under the mentorship of senior engineers, you will contribute to building, testing and deploying AI workflows that directly impact Magnit’s product suite and its enterprise customers. Key Responsibilities: 1. Assist senior engineers in designing, developing and testing AI/ML pipelines. 2. Build and maintain RESTful APIs and backend services that power AI‑driven applications. 3. Participate in data preparation, model training, evaluation and fine‑tuning for classification, regression and NLP tasks. 4. Gain practical experience with LLMs such as OpenAI GPT, Anthropic Claude and Google Gemini, including prompt engineering and Retrieval‑Augmented Generation (RAG) workflows. 5. Contribute to OCR‑based document processing pipelines, validating outputs with machine‑learning models. 6. Integrate AI models with external systems through well‑documented APIs and SDKs. 7. Take part in agile ceremonies – sprint planning, daily stand‑ups, retrospectives and design discussions. 8. Document code, experiments and learnings to foster knowledge sharing within the team. 9. Stay updated with emerging AI trends and propose innovative solutions. 10. Collaborate closely with cross‑functional teams, including product, design and operations, to deliver end‑to‑end solutions. Tech Stack: Python, TensorFlow / PyTorch, scikit‑learn, FastAPI / Flask, Docker, AWS/GCP/Azure, PostgreSQL or MySQL, Git, LLM APIs (OpenAI, Claude, Gemini), OCR tools (Tesseract, Azure OCR). Growth Path: Starting as an Associate Engineer, you can progress to Senior Engineer, AI/ML Lead, and eventually to Architecture or Product Management roles, depending on your interests and performance. Magnit encourages internal mobility, continuous upskilling and certifications. Why Join Magnit: You will work on cutting‑edge AI products that have a tangible impact on Fortune‑500 clients, receive mentorship from industry veterans, and grow in a supportive environment that values curiosity and ownership. The company’s strong market position, competitive compensation and clear career roadmap make it an ideal launchpad for a thriving AI/ML career.