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Senior MLOps Engineer (Google Cloud)
Summary by AIEngineer.careers
Senior MLOps Engineer (Google Cloud) is a MLOps Engineer role (full-time). with Spyro Soft. in REMOTE, WORLDWIDE. Compensation shown: $74K–$90K (est.). Imported listing (source: careers.spyro-soft.com). Apply on the employer's site (careers.spyro-soft.com).
Imported listing (source: careers.spyro-soft.com) · Apply on careers.spyro-soft.com
REMOTE · WORLDWIDE
$74K–$90K (est.)
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from careers.spyro-soft.com
Join Spyrosoft as a Senior MLOps Engineer to design and scale enterprise-grade machine learning platforms on Google Cloud. You will build production-ready ML workflows, implement automated lifecycle management, and collaborate with data scientists and cloud engineers to deploy models efficiently. This role focuses on improving operational excellence, observability, and cost optimization across the entire ML pipeline.
Responsibilities
- Build and maintain production-grade ML workflows using Vertex AI and Gemini Enterprise Agent Platform Pipelines
- Design reusable components for model training, evaluation, registration, deployment, monitoring, and retraining
- Implement automated model lifecycle management, including quality controls and approval processes
- Integrate ML pipelines with BigQuery and other Google Cloud services
- Collaborate with engineering teams to integrate ML workflows into CI/CD pipelines and multi-environment deployment processes
- Improve reliability, observability, scalability, and cost efficiency of machine learning workloads
- Implement monitoring and alerting mechanisms for model performance and platform health
Requirements
- Strong hands-on experience in MLOps, ML Platform Engineering, or Machine Learning Operations
Spyro Soft
Wrocław · PL · 935+ employees
Spyrosoft is a global IT services and consulting company providing custom software development, consulting, and engineering services. The company specializes in segments such as automotive, finance, healthcare, industry 4.0, and robotics, offering expertise from embedded software and cloud to AI/ML and cybersecurity.
