AI/ML Support Engineer
Tarun KumarUnited StatesMIDPosted 1h ago
Google Cloud PlatformGenerative AILarge Language ModelsNLPGoogle Vertex AIGoogle GeminiGoogle DialogflowPythonJavaShellGoMachine LearningPyTorchTensorFlowJAXRayDockerKubernetesLinuxVirtualizationGPUs/TPUs
About the Role
We are looking for an AI/ML Support Engineer to join our team. This role focuses on providing production support for AI/ML applications, troubleshooting model failures, deployment issues, and cloud infrastructure challenges.
Key Responsibilities
• Provide hands-on support for AI/ML applications in production environments
• Troubleshoot model failures, deployment issues, API errors, and cloud infrastructure challenges
• Support data pipelines and ML deployment workflows
• Monitor and resolve production incidents
Requirements
• 3+ years of experience in troubleshooting
• 2+ years of experience in AI/ML
• Strong hands-on experience with Google Cloud Platform (GCP)
• Experience with Generative AI, Large Language Models (LLMs), and NLP
• Knowledge of Google Vertex AI, Gemini, and Dialogflow
• Proficiency in Python, Java, Shell, or Go programming
• Experience with Machine Learning model development, deployment, monitoring, and troubleshooting
• Familiarity with frameworks: PyTorch, TensorFlow, JAX, or Ray
• Experience with Docker, Kubernetes, Linux, Virtualization, GPUs/TPUs
• Google Cloud Associate Cloud Engineer (ACE) certification – Required
• Preferred certification: Google Professional Machine Learning Engineer