Machine Learning Engineer - AI Insights | Machine Learning Engineer - AI Insights (gn) Vollzeit/ Teilzeit (hybrid)

DKV Euro Service GmbH + Co.KG

Ratingen, Nordrhein-Westfalen, Deutschland
Published Mar 20, 2026
Full-time
Permanent

Job Summary

This role centers on transitioning innovative AI/ML concepts from laboratory environments into robust, scalable production systems. As a Machine Learning Engineer, you will be the driving force behind the entire ML lifecycle, operationalizing models through automated CI/CD pipelines and building resilient MLOps infrastructure. Your daily responsibilities include implementing high-performance algorithms, developing scalable data pipelines, and establishing monitoring mechanisms such as drift detection and automated retraining. You will work in a hybrid environment (60/40 office-to-home ratio) based in Ratingen, collaborating closely with Data Scientists and IT infrastructure teams. This position is ideal for professionals who value software engineering best practices, including security and compliance, while working in a dynamic, agile setting. The role offers the unique opportunity to bridge the gap between prototyping and large-scale production, ensuring high model quality and system stability for AI-driven insights.

Required Skills

Education

Master's degree in Computer Science, Software Engineering, Mathematics, Statistics, or a comparable quantitative field.

Experience

  • Minimum 3 years of professional experience in Machine Learning Engineering or MLOps
  • Proven track record of building, rolling out, and operating productive, customized AI/ML solutions
  • Experience in operationalizing the ML lifecycle and developing automated CI/CD pipelines
  • Professional experience with cloud platforms and data warehouse technologies
  • Experience working in dynamic, agile, and innovative team environments

Languages

German (Basic)English (Fluent)

Additional

  • Hybrid work model (60/40 regulation) with the office location in Ratingen; Permanent contract; Compliance with security and data protection requirements is mandatory.