Reference Number:
R37017
Goettingen (Germany)
Ann Arbor, MI (United States of America)
Helsinki (Finland)
Full time
, Regular
Research and Development
Applied Machine Learning Engineer (x|f|m) – Hybrid
For the Lab Applications department, we are looking for an Applied Machine Learning Engineer (x|f|m) for Sartorius Lab Instruments GmbH & Co. KG. In this role, you will be responsible for developing and supporting state-of-the-art software-enabled products for customers in the pharmaceutical and biotech industries. In addition, you will collect requirements, prototype, design, develop, build, and document requirements, including testing and functional documentation. The goal is to define and design the products in close cooperation with product management. The job is full-time and takes place remotely on a daily basis as well as on site in Helsinki, Ann Arbor or on campus in Göttingen.

• In this position, you will integrate, implement, and design machine learning models and analytics capabilities of the cloud-based and on-premises applications to ensure seamless integration and rapid deployment across multiple products and services
• An important part of your work is working with data scientists and software engineers to build models in Cloud-|Edge-production systems
• In addition, optimize models for efficiency and scalability in Cloud-|Edge-Environments
• Furthermore, you will support rapid testing and feedback from customers and employees
• It is part of the position to conduct experiments and evaluate model performance using appropriate metrics
• Stay up-to-date on the latest advances in machine learning and AI technologies
• Documentation of the processes and model architectures for later reference and knowledge exchange round off your range of tasks

What will convince us

• You have a bachelor’s degree, preferably a master’s degree in computer science, data science, machine learning or a related field
• Proven programming skills in languages such as Python or C#
• In-depth experience in providing machine learning models for production, the development of these models is a plus
• You are familiar with agile product development
• In addition, you will bring experience with machine learning frameworks such as PyTorch and TensorFlow, containerization technologies such as Docker, and understanding of cloud platforms and services (e.g. Azure, AWS) in the role
• You can handle techniques and tools for data pre-processing
• Your demeanor is defined by your excellent problem-solving skills and attention to detail, as well as strong communication skills and ability to work together in a team environment
• Fluent in English both written and spoken
• Identification with our core values: Sustainability, Openness, Enjoyment

What we offer

As a growing global life science company, stock listed on the DAX and TecDAX, Sartorius offers a wide range of Benefits:

• Personal and Professional Development: Mentoring, leadership programs, Talent Talks, internal seminar offerings , coaching for managers
• Work life balance: Remote options, flextime, flexible work schedules, sabbaticals
• Attractive compensation: Vacation and holiday bonuses including pension benefits with a 35 hr. week, 30 vacation days
• 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: Company car (ex. service, sales), car leasing, bike leasing, large free parking garage, good bus connections
• Welcoming Culture: Mutual support, teamspirit and international collaboration; communities on numerous topics, such as coaching, agile working and business women network

We support diversity and inclusion and welcome applications from people of all nationalities, genders, sexual orientations, religions, ages, disabilities and cultural backgrounds.
Ready to join Sartorius?
About Sartorius
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. We are looking forward to receiving your application.