Senior MLOps Engineer (Google Cloud)

Spyrosoft is looking for a Senior MLOps Engineer to join a team focused on building and scaling enterprise-grade machine learning platforms on Google Cloud. You will play a key role in transforming machine learning architectures into reliable, production-ready solutions while collaborating with architects and data scientists to support the entire ML lifecycle.

Key responsibilities

• Build and maintain production-grade ML workflows using Vertex AI and Gemini Enterprise Agent Platform Pipelines.
• Design and develop reusable components for model training, evaluation, registration, deployment, and monitoring.
• Implement automated model lifecycle management, including quality controls and approval processes.
• Collaborate with engineering teams to integrate ML workflows into CI/CD pipelines and multi-environment deployment processes.
• Improve the reliability, observability, scalability, and cost efficiency of machine learning workloads.

Requirements

• 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 and solid experience with Google Cloud Platform services.
• Experience building modular and reusable ML pipeline components and CI/CD practices.
• Fluent English (C1) and a strong understanding of model versioning, monitoring, and reproducibility.

What we offer

• Opportunity to work on enterprise-grade machine learning platforms in a fully remote environment.
• Engagement in technical design discussions and continuous improvement initiatives within the MLOps ecosystem.
• Support for best practices related to governance, reproducibility, and ML platform standards.