Senior MLOps Engineer (Google Cloud)
- Practices
- MLOps, CI/CD
Project description: Join a team focused on building and scaling enterprise-grade machine learning platforms on Google Cloud. As a Senior MLOps Engineer, you will play a key role in transforming machine learning architectures into reliable, production-ready solutions. Working closely with ML Architects, Data Scientists, and Cloud Engineers, you will design and develop reusable platform capabilities that support the entire ML lifecycle, from model training and validation to deployment, monitoring, and automated retraining.
You will contribute to creating robust MLOps standards, improving operational excellence, and enabling teams to deliver machine learning solutions faster, safer, and more efficiently across enterprise environments. Tech stack: Google Cloud Platform (GCP) Vertex AI Gemini Enterprise Agent Platform Pipelines BigQuery Python CI/CD Docker ML Monitoring & Observability Model Registry & Versioning Git
Strong hands-on experience in MLOps, ML Platform Engineering, or Machine Learning Operations Proven production experience with Vertex AI and/or Gemini Enterprise Agent Platform Pipelines Strong Python software engineering skills Solid experience with Google Cloud Platform services, especially BigQuery Experience building modular and reusable ML pipeline components Hands-on experience with CI/CD practices and tools in production environments Strong understanding of model versioning, monitoring, retraining strategies, and reproducibility Knowledge of soft