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8.0 - 12.0 years
0 Lacs
chennai, tamil nadu
On-site
Role Overview: You will be responsible for building and maintaining robust machine learning pipelines to ensure efficient model deployment, monitoring, and lifecycle management within a cloud-based environment. Your expertise in MLOps, specifically with Google Cloud Platform (GCP) and Vertex AI, will be crucial in ensuring model performance drift detection and utilizing GPU accelerators. You will collaborate with cross-functional teams to automate and streamline machine learning model deployment and monitoring, utilizing tools such as Jenkins, GitHub Pipelines, Docker, Kubernetes, and OpenShift. Key Responsibilities: - Build and maintain scalable MLOps pipelines in GCP Vertex AI for end-to-e...
Posted 6 days ago
8.0 - 12.0 years
0 Lacs
chennai, tamil nadu
On-site
You will be responsible for building and maintaining robust machine learning pipelines in a cloud-based environment, ensuring efficient model deployment, monitoring, and lifecycle management. Your expertise in MLOps, specifically with Google Cloud Platform (GCP) and Vertex AI, will be essential. You should have a deep understanding of model performance drift detection and GPU accelerators. Your main tasks will include building and maintaining scalable MLOps pipelines in GCP Vertex AI for end-to-end machine learning workflows, managing the full MLOps lifecycle from data preprocessing to model monitoring and drift detection. Real-time model monitoring and drift detection will be crucial to ens...
Posted 3 months ago
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