Machine Learning Engineer

Job Description – Senior MLE/MLOps Engineer
Location:ING Belgium
Experience Level:7+ years
ING Belgium is looking for aSenior 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 deployment
• Productionize ML models into clean, modular, and maintainable code
• Implement versioning and governance for data, code, and models
• Monitor model performance, data drift, and system health
• Collaborate with cross-functional teams to deliver end-to-end ML solutions

Must-Have Skills:

• 7+ years of experience in ML engineering or MLOps
• Strong Python and SQL skills
• Experience with Apache Spark or equivalent for large-scale data processing
• Hands-on with CI/CD tools (e.g., Azure DevOps)
• Familiarity with MLOps frameworks, model registries, and experiment tracking
• Proficiency with Git for version control

Nice-to-Have Skills:

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

Soft Skills:

• Strong customer focus and stakeholder collaboration
• Ability to align technical solutions with business objectives