Technical Support Engineer AI/ML

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Engineering impact through intelligent products, platforms, and services. Our mission is to build digital products, platforms, and services designed for desirability, curated for intelligence, and engineered for excellence. Expertise in environmental stewardship when designing and building products and investment in diversity, equity, and inclusion when attracting and developing talent.

1. A strong foundation in compute fundamentals including operating systems, virtualization, containerization (Docker/Kubernetes), and basic system administration.
2. Hands-on experience with major cloud platforms like any cloud platform in AI/ML services.
3. Applied knowledge of Generative AI and Large Language Models (LLMs), and familiarity with any cloud product such as Vertex AI, Gemini, and Dialogflow.
4. Experience in machine learning model development, deployment, and lifecycle management.
5. Proficiency with modern AI/ML frameworks like TensorFlow, PyTorch, JAX, or Ray, and understanding of model architectures (e.g., encoders, decoders, transformers) and AI accelerators (e.g., GPUs, TPUs).
6. Strong problem-solving, communication, and debugging skills with a passion for helping users adopt and succeed with complex AI solutions

1. Must have an exp in L2 support for 6 months & act as a key technical contact for customers using AI/ML products and services—primarily those on Cloud Computing. Investigate, troubleshoot, and resolve product-related issues around machine learning model performance, API integration, deployment, and infrastructure.
2. Guide customers on best practices for using tools like Vertex AI, Gemini, and Dialogflow in real-world AI applications.
3. Collaborate closely with internal engineering, product, and QA teams to escalate and resolve technical problems and influence product improvements.
4. Translate complex technical issues into clear documentation and contribute to internal knowledge bases and support materials.
5. Stay current on the latest trends in Generative AI and machine learning to support evolving customer needs.