Senior MLOps Engineer — Scale Enterprise ML on GCP

Spyro Soft; Poland; Remote; USD 180,000 - 230,000; Full time

Job summary

Spyro Soft is seeking a Senior MLOps Engineer to lead the design and implementation of production-grade ML pipelines on Google Cloud. You will build reusable platform capabilities spanning training, validation, deployment, monitoring, and retraining, collaborating with ML Architects, Data Scientists, and Cloud Engineers to scale enterprise ML solutions.

You will drive MLOps standards, improve operational excellence, and enable teams to deliver faster and safer ML solutions across complex

Qualifications

• Hands-on experience in MLOps or ML Platform Engineering.
• Production experience with Vertex AI and/or Gemini Enterprise Platform Pipelines.
• Strong Python software engineering skills.
• 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 software engineering best practices, testing methodologies, and code quality standards.
• Experience working closely with Data Scientists to productionize models.
• Strong Polish communication skills (minimum B2), both written and verbal.
• Fluent English (C1)

Responsibilities

• Build and maintain production-grade ML workflows using Vertex AI and Gemini Enterprise Platform Pipelines.
• Design and develop 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.
• Work closely with Data Scientists to productionize machine learning models and experimental code.
• Improve reliability, observability, scalability, and cost efficiency of machine learning workloads.
• Implement monitoring and alerting mechanisms for model performance and platform health.
• Support best practices related to governance, reproducibility, and ML platform standards.
• Contribute to technical design discussions and continuous improvement initiatives within the MLOps ecosystem.

Skills

MLOps

Python

CI/CD

GCP

BigQuery

Docker

Git

Model versioning

Monitoring & Observability

Collaboration with Data Scientists

Tools

Vertex AI

Gemini Enterprise Platform Pipelines

Job description

Spyro Soft is seeking a Senior MLOps Engineer to lead the design and implementation of production-grade ML pipelines on Google Cloud. You will build reusable platform capabilities spanning training, validation, deployment, monitoring, and retraining, collaborating with ML Architects, Data Scientists, and Cloud Engineers to scale enterprise ML solutions.

You will drive MLOps standards, improve operational excellence, and enable teams to deliver faster and safer ML solutions across complex