Description

You will own the operationalization of machine learning systems on Google Cloud Platform.

Responsibilities

• Design and implement end-to-end ML pipelines using GCP tools like Vertex AI Pipelines, Cloud Functions, and Cloud Composer.
• Automate ML model training, evaluation, deployment, and monitoring in production environments.
• Manage CI/CD pipelines for ML workflows using Cloud Build, GitHub Actions, or Jenkins.
• Build and manage scalable infrastructure using Infrastructure as Code (IaC) tools like Terraform or Deployment Manager.
• Monitor model performance, data drift, and system reliability using tools like Vertex AI Model Monitoring, Prometheus, and Grafana.

Required Skills

• 10+ years of professional experience in ML Operations.
• Expertise with GCP services, including Vertex AI and AI Platform Prediction.
• Experience building and managing CI/CD pipelines.
• Proficiency with monitoring stacks such as Prometheus and Grafana.
• Ability to implement Infrastructure as Code (IaC) using Terraform or Deployment Manager.
• Experience managing model versioning and lineage using ML Metadata and Artifact Registry.
• Familiarity with Docker-based ML deployments.
• Any Graduate degree.

Key Skills

Education

Any Graduate