Job Description – Senior MLE/MLOps Engineer
Location: ING Belgium
Experience Level: 7+ years
ING Belgium is looking for a Senior Machine Learning Engineer  to join our squad. In this role, you’ll help design and automate robust ML pipelines, productionize models, and ensure smooth deployment and monitoring of ML solutions that drive customer impact.

You’ll work closely with data scientists and engineers to operationalize ML workflows, ensuring reproducibility, scalability, and performance. While tools like Docker and Kubernetes are a plus, our current stack focuses more on cloud-native services and automation frameworks.

We value engineers who bring strong technical skills and a customer-first mindset. Understanding business needs and translating them into scalable ML solutions is key to success in this role.

Key Responsibilities:

Build and automate ML pipelines (CI/CD, CT) for training, evaluation, and deploymentProductionize ML models into clean, modular, and maintainable codeImplement versioning and governance for data, code, and modelsMonitor model performance, data drift, and system healthCollaborate with cross-functional teams to deliver end-to-end ML solutions

Must-Have Skills:

7+ years of experience in ML engineering or MLOpsStrong Python and SQL skillsExperience with Apache Spark or equivalent for large-scale data processingHands-on with CI/CD tools (e.g., Azure DevOps)Familiarity with MLOps frameworks, model registries, and experiment trackingProficiency with Git for version control

Nice-to-Have Skills:

Experience with Docker, Kubernetes, and ML monitoring toolsUnderstanding of ML fundamentals and algorithms (regression, classification, clustering)Familiarity with libraries like scikit-learn, pandasAbility to understand and translate business needs into technical solutions

Soft Skills:

Strong customer focus and stakeholder collaborationAbility to align technical solutions with business objectives