Machine Learning Engineer

Company Overview

A leading technology organization and one of the most established digital platforms in Europe, the company designs and builds advanced data-driven solutions that power innovative products and services. All technology development is carried out in-house at the main engineering hub.

Key Responsibilities

• Collaborate in an agile, cross-functional team to design, build, and deploy data-driven products using modern machine learning methods.
• Implement and operationalize ML models on cloud infrastructure (e.g., Google Cloud Platform) and ensure reliable integration into production environments.
• Maintain smooth operations across systems, with continuous improvements in quality, scalability, performance, and security.
• Define and implement best practices in MLOps, optimize existing applications, and introduce new tools and methods to enhance the ML infrastructure.
• Work closely with data scientists, business stakeholders, and engineering teams to support the complete lifecycle of ML models—from conception and development to deployment, monitoring, and iteration.

Requirements

• Several years of professional experience in software engineering and development.
• Strong programming skills in Python, Java, and SQL, particularly in data engineering and high-performance data applications.
• Practical experience with cloud services (preferably GCP), Terraform, and CI/CD pipelines for ML workloads.
• Comprehensive understanding of MLOps principles and experience managing models throughout their lifecycle.
• Strong analytical abilities, structured working style, and proactive approach to problem solving.
• Excellent communication skills and fluency in English; German language skills are an advantage.

Benefits

• Flexible Work: Flexible working hours, 30 days of annual leave, and up to two remote working days per week.
• Commuter Benefits: Public transportation pass provided.
• Team Culture: Regular team events, offsites, volunteer days, and social activities.
• Professional Growth: Individualized development and training opportunities.
• Work Environment: Dog-friendly office with an open and inclusive atmosphere.