MLOps Data Engineer (relocation to the Netherlands)

We are looking for an MLOps Data Engineer who is willing to relocate to join our Client’s team in the Netherlands.

Key Responsibilities

• Collaborate with Product Owners and squads to streamline the process of taking ML models to production, maintaining, and monitoring them.
• Design, develop, qualify, deploy, and support/maintain scalable machine learning workflows and operational platforms.
• Prepare specifications, test plans, deliverables, acceptance criteria, and project timeframes.
• Develop and automate ML pipelines for model creation, training, deployment, and updates.
• Maintain technical documentation, and conduct presentations to stakeholders on system architecture and functionality.
• Study technical feasibility and provide accurate estimates for solutions.

Required Qualifications

• University degree in Computer Science or a related field (or equivalent work experience).
• 5–10 years' experience in systems development.
• Strong Python programming skills with experience in frameworks and tools.
• Professional expertise with ML operationalization tools such as MLflow, Kubeflow, Kedro, or Airflow.
• Hands-on experience in SQL and NoSQL databases (e.g., Oracle, MongoDB, Cassandra), including data modeling.
• Experience designing and automating CI/CD pipelines (GIT/BitBucket, Jenkins, Ansible Tower).
• Proficiency with containerization (Docker) with at least 6 years' experience.
• Strong understanding of Kubernetes and RedHat OpenShift is a plus.
• Familiarity with web server technology, REST APIs, and deployment stacks (Apache, Tomcat).
• Hands-on scripting capability (Unix Shell or RHEL commands).
• Knowledge of coverage and code analysis tools and platforms (Confluence, Jira, ServiceNow, Nexus).

Competency Profile

• Business-oriented: Passionate about creating AI-driven solutions that meet customer needs.
• Team player: Collaborative, supportive, and takes pride in shared team success.
• Detail-oriented: Committed to quality; understands that production-ready solutions require strong reliability standards.
• Curious and eager to learn: Open to learning new concepts and mentoring others.
• 8+ years of experience in ML productization and Python programming.

Why Join Us?

• Employment: Indefinite Contract from the start.
• Relocation Support: Great relocation package.
• Health Insurance: Comprehensive coverage for your well-being.
• Hybrid Work Model: 2 days on-site, 3 days remote.
• Continuous Learning: Access to a Udemy Business subscription with thousands of workshops and courses.
• Team Culture: Collaborative and innovative work environment.

If you meet the above criteria and are ready for an exciting opportunity in a dynamic environment, submit your CV!