Applied Machine Learning Engineer (x|f|m) – Hybrid

Grow with us – Your Responsibilities

• 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

• 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 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.