Cloud Engineer for AI/ML Workloads
11 hours ago
We are seeking an experienced Cloud Engineer to support our AI/ML projects by designing, implementing, and managing cloud infrastructure on Google Cloud Platform (GCP). The role requires expertise in CI/CD, Kubernetes, Infrastructure as Code (IaC), security, monitoring, and optimizing AI/ML workflows. As a key member of our team, you will collaborate with data scientists, ML engineers, and software developers to ensure scalable and reliable deployment of AI/ML models.
Key Responsibilities:- Design and Deploy GCP Cloud Infrastructure: Develop and implement efficient cloud infrastructure for AI/ML applications using Terraform, Deployment Manager, or Pulumi.
- Implement MLOps Practices: Build and maintain CI/CD pipelines for AI/ML model training and deployment using Cloud Build, Jenkins, or GitHub Actions.
- Manage and Optimize AI/ML Workloads: Utilize Vertex AI, AI Platform, and BigQuery ML to manage and optimize AI/ML workloads.
- Integrate Kubeflow and TensorFlow Extended: Integrate Kubeflow, TensorFlow Extended (TFX), or MLflow for model lifecycle management.
Experience: 5 years of relevant experience
Preferred Qualifications:
- Professional Cloud DevOps Engineer
- Professional Cloud Architect
- Professional Machine Learning Engineer
- Experience working with AI/ML workloads on Google Cloud
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