Machine Learning Operations (MLOps) Engineer - Remote

Overview

We are looking for a Machine Learning Operations (MLOps) Engineer for the AI & Data Science department at Sartorius Corporate Administration GmbH. In your role, you will be responsible for developing, implementing and monitoring the infrastructure and processes required to efficiently run and scale machine learning models in our production environments.

In Short

• Develop and manage ML models in production environments.
• Implement MLOps and DevOps principles for model lifecycle management.
• Optimize deployment processes for efficiency and scalability.
• Set up monitoring systems to evaluate model performance.
• Collaborate with Data Engineers and Scientists.
• Degree in computer science, data science, or related fields.
• Experience in deploying and managing ML models.
• Strong knowledge of DevOps and MLOps platforms.
• Fluent in English; knowledge of German is a plus.
• Work in a hybrid role with some days remote.

Requirements

• Degree in relevant fields (computer science, data science, etc.).
• Experience with ML model deployment and management.
• Knowledge of MLFlow, Azure DevOps, Databricks.
• Understanding of CI/CD, Gitflow, and infrastructure-as-code.
• Familiarity with ML frameworks like PyTorch and Tensorflow.
• High analytical skills and quality-oriented work.
• Fluent English communication skills.
• Independent and professional work ethic.

Benefits

• Personal and professional development opportunities.
• Flexible work schedules and remote options.
• Attractive compensation with vacation bonuses.
• Modern office facilities with various amenities.
• Comprehensive onboarding process.
• Travel benefits including car and bike leasing.
• Supportive team culture and international collaboration.
• Opportunities to make an impact in the life sciences sector.