Machine Learning Engineer

Candidates typically face a three‑stage process: an online aptitude test, a technical interview focusing on machine learning fundamentals, Python coding, and problem‑solving, followed by an HR round assessing cultural fit and motivation. The difficulty is moderate; thorough preparation of ML concepts and coding practice on platforms like LeetCode greatly improves success chances.

Zycus promotes a merit‑based work culture where learning and innovation are encouraged. Employees enjoy flexible work arrangements, regular skill‑upgradation programs, and a supportive environment that balances challenging projects with personal well‑being.

B.E. / B.Tech graduate or final‑year student in Computer Science, Electronics, Information Technology or related streams. Minimum aggregate 60% (or CGPA 6.0/10). Eligible batch years: 2025 or 2026. Maximum of 1 active backlog allowed at the time of joining. Must have 0–1 year of experience in AI/ML projects or internships and a genuine passion for artificial intelligence and emerging technologies.

Round 1: Online Aptitude Test (Logical reasoning, quantitative, verbal) → Round 2: Technical Interview (ML concepts, coding, problem solving) → Round 3: HR Interview (fitment, motivation, salary discussion)

Zycus is a leading global provider of spend analysis and procurement solutions, headquartered in Pune, India. With a strong focus on AI‑driven automation, the company helps enterprises transform their procurement processes, reduce costs, and drive strategic value. Over the past decade, Zycus has built a robust portfolio of products that leverage machine learning, natural language processing, and advanced analytics, earning recognition as a top innovator in the enterprise software space. The organization prides itself on a collaborative culture that encourages continuous learning, mentorship, and rapid career growth for fresh talent. As a Machine Learning Engineer at Zycus, you will join a dynamic product team that designs and ships AI‑powered features for the company’s procurement platform. You will work closely with senior AI engineers, product managers, and data scientists to translate business problems into scalable ML solutions. The role offers hands‑on exposure to live projects, from data ingestion and model development to deployment and monitoring, providing a solid foundation for a career in artificial intelligence. Key Responsibilities: 1. Collaborate with product managers to understand feature requirements and translate them into ML problem statements. 2. Design, develop, and fine‑tune machine learning and deep learning models using Python libraries such as TensorFlow, PyTorch, and Scikit‑learn. 3. Prepare clean, well‑documented code and reusable pipelines for data preprocessing, feature engineering, and model training. 4. Build APIs to integrate ML models into Zycus’s SaaS products, ensuring low latency and high reliability. 5. Conduct experiments, evaluate model performance, and iterate based on metrics and stakeholder feedback. 6. Create comprehensive documentation, technical reports, and presentation decks for internal and client‑facing audiences. 7. Participate in code reviews, knowledge‑sharing sessions, and mentorship programs. 8. Stay updated with emerging AI trends, especially Generative AI and LLMs, and propose innovative use‑cases. 9. Monitor deployed models in production, troubleshoot issues, and implement model retraining pipelines. 10. Contribute to the continuous improvement of the AI development workflow, including CI/CD for ML models. Tech Stack: Python, TensorFlow, PyTorch, Scikit‑learn, Pandas, NumPy, RESTful APIs, Docker, Git, Linux, SQL/NoSQL databases, and cloud platforms (AWS/GCP). Growth Path: Starting as a junior ML Engineer, you can progress to Senior Engineer, AI Solutions Architect, or AI Product Lead within 3‑5 years, supported by structured mentorship and regular performance reviews. Why Join Zycus? You will gain real‑world experience on enterprise‑grade AI projects, work alongside seasoned AI professionals, and have a clear pathway to a full‑time role. The company’s emphasis on innovation, learning, and work‑life balance makes it an ideal launchpad for fresh engineering graduates eager to make an impact in the AI domain.