MLOps Engineer (m/f/d)

The Analytics Platform Chapter is a dynamic and cross-functional team at the heart of our data-driven transformation. Join us in designing, building and maintaining a modern Analytical Platform (Azure Databricks) that enables scalable, secure and high-impact analytical solutions across the organization.

Requirements description:

• 1–3 years of experience in MLOps or ML Engineering.

• Familiarity with the Azure environment and Databricks

• Good command of Python and SQL, experience with R is a plus

• Basic understanding of the ML model lifecycle.

• Experience with CI/CD and process automation.

• Knowledge of tools such as MLFlow, Kubernetes, Docker, Spark, REST APIs

• Ability to work in interdisciplinary teams and communicate effectively.

Nice to have:

• Experience working closely with Data Science teams, especially in deploying or supporting ML models.

• Exposure to data workflows, feature engineering, or model evaluation.

• Interest in bridging experimentation and production in ML projects.

Your responsibilities

• Collaborate on the implementation and maintenance of CI/CD processes for ML projects.

• Participate in the implementation of model monitoring, version management, and anomaly detection.

• Support Data Science teams in automating ML pipelines and applying MLOps best practices.

• Maintain and optimize infrastructure for cost efficiency.

• Assist in resolving incidents and technical issues related to ML pipelines.

• Work with technical and business teams to integrate ML solutions with organizational systems.

• Co-develop standards and best practices for using the analytical platform.

What we offer:

• Employment based on employment contract / B2B

• Flexible starting hours

• Possibility of full remote work / hybrid model

• Attractive employee benefits package: private medical care (Luxmed), subsidy for Multisport card, additional benefits tailored to your needs within the cafeteria system, group insurance for employees on preferential terms

• Opportunity to receive an attractive bonus in the employee referral program

• Possibility to rent a company car for private use

We are dedicated to creating an inclusive recruitment process that upholds the principles of equal opportunity. Our focus is on candidates' competencies and their willingness to grow, regardless of gender, age, disability, religion, sexual orientation, background, or any other factors unrelated to their qualifications. We go the extra mile to ensure the recruitment process is accessible and thoughtfully tailored to accommodate individual needs.