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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

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