DevOps Professional with Expertise in GCP
1 day ago
Job Description:
As a DevOps Professional, you will play a critical role in supporting AI and ML projects by designing, implementing, and managing cloud infrastructure on Google Cloud Platform (GCP). You will ensure the scalability and reliability of cloud infrastructure by leveraging your expertise in DevOps.
Key Responsibilities:- Cloud Infrastructure Design: Design and deploy scalable and reliable cloud infrastructure for AI and ML applications.
- IaC Implementation: Implement Infrastructure as Code (IaC) using Terraform, Deployment Manager, or Pulumi.
- AI and ML Workload Management: Manage and optimize AI and ML workloads using Vertex AI, AI Platform, and BigQuery ML.
- CI/CD Pipeline Development:
Build and maintain CI/CD pipelines for AI and ML model training and deployment using Cloud Build, Jenkins, or GitHub Actions. - MLOps Practice Implementation: Implement MLOps practices for automated model versioning, deployment, and monitoring.
- Model Lifecycle Management Integration: Integrate Kubeflow, TensorFlow Extended (TFX), or MLflow for model lifecycle management.
- Containerization and Orchestration:
Deploy AI and ML applications using Docker and orchestrate with Kubernetes (GKE). - Cost-Efficient Containerized AI Workloads: Optimize containerized AI workloads for scalability and cost efficiency.
- Security Best Practices:
Ensure IAM policies, data encryption, and network security best practices. - Audit Logging and Access Control: Implement audit logging, monitoring, and access control for AI and ML pipelines.
- Industry Security Compliance: Ensure compliance with GDPR, HIPAA, or industry security standards.
- Monitoring and Cost Optimization:
Set up monitoring with Google Cloud Operations Suite (Stackdriver), Prometheus, and Grafana. - Compute, Storage, and Networking Costs: Optimize compute, storage, and networking costs for AI workloads.
- AI Model Performance Monitoring: Implement logging and alerting strategies for AI model performance monitoring.
- 5 years of relevant experience.
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