Senior ML Engineer - Production Pipelines (Hybrid Remote)

Sony Interactive Entertainment; Zaventem; Hybrid; EUR 75,000 - 105,000; Full time

Job summary

Sony Interactive Entertainment is hiring for a hands-on ML Engineer in Belgium. You will help build and operate the in‑house ML platform used by data scientists to design, deploy, monitor and experiment with production models powering the D2C portfolio.

You will contribute to services and pipelines for model training, scoring and monitoring, develop data transformations in Python/Java and SQL, and collaborate across a globally distributed team in a hybrid setup with Brussels office presence as

Qualifications

• Master’s degree in Computer Science, Machine Learning or related field with 3+ years of relevant experience.
• Strong software engineering foundations using Python or Java, with deployment and monitoring experience.
• Experience with AI-assisted development tools and validating changes via testing and monitoring.
• Practical ML/AI understanding and SQL skills to prepare and investigate data.
• Ability to collaborate with data scientists and product partners across a distributed team.

Responsibilities

• Contribute to services and pipelines for model training, scoring, and production monitoring.
• Develop data transformations, feature aggregations and integrations using Python/Java and SQL.
• Help integrate model deployments and A/B experiments with data scientists and ML engineers.
• Improve automated testing, deployment, monitoring, troubleshooting; participate in on-call rotation (no nights).

Skills

Python/Java

Testing & Monitoring

AI tooling literacy

SQL data handling

Distributed teamwork

Education

Master’s degree in Computer Science, Machine Learning or related field

Job description

Sony Interactive Entertainment is hiring for a hands-on ML Engineer in Belgium. You will help build and operate the in‑house ML platform used by data scientists to design, deploy, monitor and experiment with production models powering the D2C portfolio.

You will contribute to services and pipelines for model training, scoring and monitoring, develop data transformations in Python/Java and SQL, and collaborate across a globally distributed team in a hybrid setup with Brussels office presence as