Technical Support Engineer – AI/ML

Candidates typically face a timed online test followed by a technical interview focusing on Python, APIs, and basic AI/ML concepts. The HR round assesses cultural fit and communication skills. Preparation should include mock coding sessions and reviewing cloud service basics.

Round 1: Online aptitude & technical test → Round 2: Technical interview (problem solving, fundamentals, scenario based questions) → Round 3: HR interview (fit, motivations, salary expectations)

Globallogic promotes a learning‑first culture where engineers are encouraged to experiment with new technologies and share knowledge across teams. The company offers structured career ladders, regular skill‑upgradation workshops, and a balanced work‑life environment that respects personal time while delivering high‑impact projects.

Bachelor’s degree in Engineering, Computer Science, Information Technology or related fields; minimum 60% aggregate (or CGPA 6.0/10); no active backlogs at the time of application; eligible batch years 2022‑2025; freshers and candidates with up to 2 years of relevant experience can apply.

GlobalLogic is a leading digital engineering services company that partners with Fortune 500 firms to design and develop innovative software products. With delivery centers across the globe, the company focuses on emerging technologies such as artificial intelligence, machine learning, cloud computing, and IoT. Its culture encourages continuous learning, collaboration across geographies, and a strong emphasis on quality and customer satisfaction. Employees benefit from a vibrant ecosystem of mentorship, internal training programs, and exposure to cutting‑edge projects that shape the future of digital experiences. The Technical Support Engineer – AI/ML role is positioned at the intersection of product support and advanced technology. As a fresh graduate or early‑career professional, you will be responsible for ensuring the smooth operation of AI/ML services deployed for GlobalLogic’s clients. You will act as the first line of defense for any technical anomalies, work closely with development teams to troubleshoot complex issues, and contribute to the reliability and scalability of AI‑driven solutions. This role offers a fast‑track learning curve, allowing you to deepen your understanding of machine learning pipelines, cloud platforms, and API integrations while honing problem‑solving and communication skills. Key Responsibilities: 1. Provide day‑to‑day technical support for AI/ML applications, platforms, and services. 2. Diagnose, troubleshoot, and resolve incidents related to model deployment, data pipelines, and inference APIs. 3. Monitor system health, performance metrics, and service level agreements to proactively identify potential issues. 4. Collaborate with engineering, product, and DevOps teams to reproduce bugs, implement fixes, and validate resolutions. 5. Document incident details, root‑cause analyses, and standard operating procedures for future reference. 6. Assist in the rollout of new AI/ML features, including environment setup, configuration, and post‑deployment validation. 7. Participate in on‑call rotations and ensure timely escalation of critical problems. 8. Contribute ideas to improve support processes, automation scripts, and knowledge‑base articles. 9. Stay updated with the latest AI/ML frameworks, cloud services, and industry best practices. 10. Provide feedback to product teams on recurring issues and potential enhancements. Tech Stack: Python, RESTful APIs, Docker/Kubernetes, AWS/GCP/Azure cloud services, SQL/NoSQL databases, monitoring tools (Prometheus, Grafana), CI/CD pipelines, basic knowledge of TensorFlow/PyTorch. Growth Path: Starting as a Support Engineer, you can progress to Senior Support Engineer, Technical Lead, or specialize further into AI/ML Engineering, Cloud Operations, or Product Management based on performance and interests. GlobalLogic encourages internal mobility, and many employees transition into core development roles after gaining domain expertise. Why Join GlobalLogic? The company offers exposure to global clients, a collaborative environment, and a clear roadmap for skill development. You will work alongside seasoned AI/ML engineers, gain hands‑on experience with production‑grade models, and receive mentorship that accelerates your career. Competitive compensation, flexible work arrangements, and a strong emphasis on work‑life balance make it an attractive destination for ambitious freshers.