Jobs → Customer Support → AI/ML Support Engineer

About the Role We are looking for an AI/ML Support Engineer to join our team. This role focuses on troubleshooting and resolving complex AI/ML application and infrastructure issues in production environments. Key Responsibilities • Troubleshoot and resolve complex AI/ML application and infrastructure issues • Support production AI/ML applications and cloud-based deployments • Diagnose model failures, API errors, deployment issues, and performance bottlenecks • Support Google Cloud AI/ML services, including Vertex AI, Gemini, and Dialogflow • Analyze logs, data pipelines, model behavior, and system performance • Work with engineering, cloud, and support teams to resolve production incidents Requirements • 3+ years of experience in troubleshooting • 2+ years of experience in AI/ML • Strong hands-on experience with Google Cloud AI/ML services • Experience with Generative AI, LLMs, and NLP • Proficiency in Python, Java, Shell, or Go • Knowledge of Machine Learning Model Development & Deployment • Experience with PyTorch, TensorFlow, JAX, or Ray • Familiarity with Docker, Kubernetes, Linux, and Cloud Infrastructure • Understanding of GPU/TPU and AI Compute Infrastructure • Experience with ML Model Monitoring & Performance Troubleshooting • Knowledge of Data Pipelines & Model Deployment Workflows • Required Certification: Google Cloud Associate Cloud Engineer (ACE) • Preferred Certification: Google Professional Machine Learning Engineer