Technical Support Engineer – AIML

The GlobalLogic interview process typically starts with an online aptitude test, followed by a technical interview that probes AI/ML fundamentals, cloud platform knowledge, and real‑world troubleshooting scenarios. The final HR round assesses communication skills, cultural fit, and willingness to work in 24×7 shifts. Candidates should be ready to discuss past support cases, explain AI model behavior, and demonstrate problem‑solving under time pressure.

Round 1: Aptitude & Logical Reasoning Test → Round 2: Technical Interview (AI/ML concepts, cloud fundamentals, troubleshooting scenarios) → Round 3: HR Interview (fitment, communication skills, shift availability)

GlobalLogic promotes a collaborative, innovation‑driven culture where engineers are encouraged to experiment with emerging technologies. The company offers structured career ladders, regular skill‑upgradation programs, and a balanced work‑life environment despite the rotational shift model, ensuring employees receive adequate rest and growth opportunities.

Bachelor’s degree in Computer Science, Information Technology, Engineering or a related discipline (or equivalent practical experience). Minimum 1 year of experience in technical support, troubleshooting or a related technical field. Strong understanding of AI/ML concepts, chatbots, LLMs and Generative AI. Hands‑on experience with at least one cloud platform (GCP, AWS or Azure). No active backlogs; candidates should have cleared all semesters/years at the time of application. No specific percentage requirement, but a solid academic record (generally 60%+ CGPA) is preferred.

GlobalLogic is a leading digital engineering services firm and a proud member of the Hitachi Group. With a presence in more than 30 countries, the company partners with enterprises across technology, communications, healthcare, retail and telecommunications to build next‑generation digital products, platforms and services. Its engineering culture blends deep domain expertise in software, cloud, AI/ML and product design, enabling clients to accelerate innovation while maintaining high quality and security standards. Employees benefit from a collaborative environment, continuous learning programs, and exposure to cutting‑edge technologies that shape the future of digital transformation. The Technical Support Engineer – AIML role in Gurugram is a customer‑facing position that focuses on troubleshooting and supporting AI/ML‑driven solutions, including Generative AI applications, Large Language Models (LLMs), chatbots, and related APIs. The role sits at the intersection of AI product knowledge and cloud infrastructure, requiring engineers to diagnose complex issues, reproduce problems, and work closely with product and engineering teams to drive permanent fixes. Candidates will operate in a 24×7 rotational shift model, providing timely assistance through email, chat, and phone channels while maintaining high customer satisfaction scores. Key Responsibilities: 1. Respond to customer queries across multiple channels and resolve technical issues related to AIML products. 2. Diagnose, reproduce, and troubleshoot problems in AI/ML models, Generative AI pipelines, and associated APIs. 3. Provide guidance on cloud deployments (GCP, AWS, Azure) and assist customers in configuring and optimizing their environments. 4. Conduct root‑cause analysis, document findings, and create detailed incident reports for engineering teams. 5. Collaborate with cross‑functional teams to escalate and track complex issues requiring product changes. 6. Develop and maintain knowledge‑base articles, troubleshooting guides, and standard operating procedures. 7. Ensure adherence to Service Level Objectives (SLOs) for response and resolution times. 8. Participate in on‑call rotations and hand‑over processes to guarantee 24×7 coverage. 9. Offer proactive recommendations for performance tuning, security hardening, and cost optimization of AI workloads. 10. Stay updated with the latest advancements in AI/ML, LLMs, and cloud services to provide informed support. Tech Stack: AI/ML fundamentals, Large Language Models, Generative AI, RESTful APIs, JSON, HTTP, GCP/AWS/Azure services, Linux/Windows environments, monitoring tools, ticketing systems. Growth Path: Successful engineers can progress to Senior Technical Support Engineer, Technical Lead, or move into specialized AI/ML engineering, cloud architecture, or product management roles within GlobalLogic’s extensive portfolio. Why Join GlobalLogic? The company offers exposure to world‑class AI projects, mentorship from industry veterans, and a culture that rewards curiosity and continuous improvement. Employees enjoy flexible learning budgets, internal mobility, and the chance to work on products that impact millions of users globally.