ML Ops Engineer (x|f|m) – Hybrid

Grow with us – Your Responsibilities

• In this position, you will support the design, build and maintenance of scalable pipelines for deploying AI models across cloud and edge environments

• An important part of your work is the collaborating with data scientists, biologists and software developers to transition models from development to production ensuring seamless integration and fast deployment across multiple products and services

• In addition, build solutions to track the performance of deployed machine learning models

• Furthermore, you will create and maintain CI|CD pipelines for automating deployment processes

• Part of the position involves building scalable backend infrastructure to support cutting-edge software products

• Stay up-to-date with the latest advances in machine learning and AI technologies

• Documentation of processes and model architectures for later reference and knowledge exchange rounds off your range of tasks

What will convince us

• You have 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 deploying 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, TensorFlow and the ONNX format for model deployment

• In-depth 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 collaboratively 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 MDAX, 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.