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Machine Learning Operations Engineer @Sartorius Corporate Administration GmbH

[Hiring] Machine Learning Operations Engineer @Sartorius Corporate Administration GmbH

Mar 31, 2025 - Sartorius Corporate Administration GmbH is hiring a remote Machine Learning Operations Engineer. 💸 Salary: unspecified. 📍Location: Germany.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

We are looking for a Machine Learning Operations (MLOps) Engineer (x|f|m) 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.

This position is available for full-time. It is a hybrid role requiring some days on site at our headquarters in Göttingen or Berlin with the opportunity to work some days remotely.

Grow with us – Your Responsibilities:

  • Play a crucial role in the deployment and management of machine learning models in production implementation and ensure their efficiency, scalability and robustness.
  • Design, build and automate the lifecycle management of ML models, working closely with our Data Engineers and Scientists by applying MLOps and DevOps principles.
  • Optimize the deployment process and accelerate the transition from development to production.
  • Set up robust monitoring systems to evaluate model performance and data change.

Qualifications

  • Degree in computer science, data science, statistics, mathematics, physics or a comparable specialization.
  • Extensive experience in the deployment and management of machine learning models in production, with a comprehensive understanding of the associated challenges.
  • Strong knowledge of platforms and frameworks in the area of DevOps and MLOps (MLFlow, Azure DevOps, Databricks or similar).
  • Thorough understanding of concepts such as model and data set management, CI/CD, Gitflow, container management and infrastructure-as-code.
  • Good understanding of ML concepts and frameworks such as PyTorch, Tensorflow, LangChain or similar is a plus.
  • High analytical skills, an independent and quality-oriented way of working and a professional appearance.
  • Fluent English skills; knowledge of German is a plus.

Benefits

  • Personal and Professional Development: Mentoring, leadership programs, Talent Talks, LinkedIn Learning, internal seminar offerings.
  • Work life balance: Remote options, flextime, flexible work schedules.
  • Attractive compensation: Vacation and holiday bonuses including pension benefits with a 35 hr. week, 30 vacation days.
  • Large, modern campus: Open office spaces, terraces, company restaurant with vegetarian and vegan options, cozy Italian bistro with ice cream sales, fitness studio and daycare center.
  • Making an impact right from the start: Comprehensive onboarding, including a virtual online platform even before joining, Welcome Workshops, "buddy" as point of contact.
  • Travel benefits: car leasing, bike leasing, large free parking garage, good bus connections.
  • Welcoming Culture: Mutual support, team spirit and international collaboration; communities on numerous topics, such as coaching, agile working and business women network.

Company Description

Sartorius is part of the solution in the fight against cancer, dementia, and many other diseases. Our technologies help translate scientific discoveries into real-world medicine faster, so that new therapeutics can reach patients worldwide.

We look for ambitious team players and creative minds, who want to contribute to this goal and advance their careers in a dynamic global environment. Join our global team and become part of the solution.

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Before You Apply
📍 Be aware of the location restriction for this remote position: Germany
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Machine Learning Operations Engineer @Sartorius Corporate Administration GmbH
Software Development
Salary 💸 unspecified
Remote Location
Germany
Job Type full-time
Posted Mar 31, 2025
Apply for this position Unlock 55,083 Remote Jobs
📍 Be aware of the location restriction for this remote position: Germany
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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