MLOps Engineer: Scale ML in Production for Games

EyeSpy Recruitment; Polska; Vor Ort; PLN 150.000 - 230.000; Vollzeit

Zusammenfassung

EyeSpy Recruitment is seeking an experienced MLOps Engineer to design, build and operate scalable ML platforms, pipelines and serving systems for a production-grade environment used by millions of players.

You will own the release flow, automate data and model pipelines, monitor APIs, and develop internal tooling and observability dashboards to keep systems healthy and secure in production.

Qualifikationen

• Strong Python skills and solid software development experience.
• Experience deploying ML models in production.
• Cloud platforms experience, ideally Microsoft Azure.
• Docker and containerisation for scalable deployments.
• Monitoring, logging and alerting for ML systems.
• Git, package management and dependency tracking.
• Data modelling, ETL and SQL/NoSQL databases.
• Understanding of core ML concepts and algorithms.
• Degree in Computer Science, Engineering or related field.

Aufgaben

• Serve models at scale.
• Automate data, training and inference pipelines.
• Own the release flow with CI/CD for testing, validation and deployment.
• Keep APIs healthy with monitoring and security.
• Build internal tools to configure and manage ML systems in production.
• Develop observability dashboards and alerts for model and infra health.
• Write unit and integration tests for ML code, pipelines and deployment workflows.
• Ship securely with containerised deployments and data handling best practices.

Kenntnisse

Python

Deploying ML models in production

Monitoring/logging/alerting

Git

Data modelling / ETL

SQL / NoSQL databases

Machine learning concepts

Ausbildung

Bachelor's or Master's in Computer Science / Engineering or related field

Tools

Docker

Microsoft Azure

Jobbeschreibung

EyeSpy Recruitment is seeking an experienced MLOps Engineer to design, build and operate scalable ML platforms, pipelines and serving systems for a production-grade environment used by millions of players.

You will own the release flow, automate data and model pipelines, monitor APIs, and develop internal tooling and observability dashboards to keep systems healthy and secure in production.