GCP Cloud Infrastructure Specialist

20 hours ago


Lahore, Punjab, Pakistan tkxel Full time

Job Description:

tkxel is seeking an experienced Cloud Infrastructure Specialist to design, implement, and manage cloud infrastructure on Google Cloud Platform (GCP). As a key member of our organization, you will play a crucial role in supporting AI and ML projects by providing expertise in cloud infrastructure.

Key Responsibilities:
  1. Cloud Infrastructure Design: Design and deploy scalable and reliable cloud infrastructure for AI and ML applications.
  2. IaC Implementation: Implement Infrastructure as Code (IaC) using Terraform, Deployment Manager, or Pulumi.
  3. AI and ML Workload Management: Manage and optimize AI and ML workloads using Vertex AI, AI Platform, and BigQuery ML.
  1. 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.
  2. MLOps Practice Implementation: Implement MLOps practices for automated model versioning, deployment, and monitoring.
  3. Model Lifecycle Management Integration: Integrate Kubeflow, TensorFlow Extended (TFX), or MLflow for model lifecycle management.
  1. Containerization and Orchestration:
    Deploy AI and ML applications using Docker and orchestrate with Kubernetes (GKE).
  2. Cost-Efficient Containerized AI Workloads: Optimize containerized AI workloads for scalability and cost efficiency.
  1. Security Best Practices:
    Ensure IAM policies, data encryption, and network security best practices.
  2. Audit Logging and Access Control: Implement audit logging, monitoring, and access control for AI and ML pipelines.
  3. Industry Security Compliance: Ensure compliance with GDPR, HIPAA, or industry security standards.
  1. Monitoring and Cost Optimization:
    Set up monitoring with Google Cloud Operations Suite (Stackdriver), Prometheus, and Grafana.
  2. Compute, Storage, and Networking Costs: Optimize compute, storage, and networking costs for AI workloads.
  3. AI Model Performance Monitoring: Implement logging and alerting strategies for AI model performance monitoring.
Requirements:
  • 5 years of relevant experience.


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