Machine Learning Engineer | Scientist

You will work in a small machine learning-research team to collaboratively explore, implement, and deploy state-of-the-art ML solutions. Your role will be to bring engineering skills to our ML research team and help establish best practices for scalable machine learning in the biopharmaceutical industry. As part of a small and multi-disciplinary research-oriented team, you are a flexible and independent minded person who is comfortable with taking own initiatives.
What you will accomplish together with us:
Collaborative exploration with research scientist-colleagues to develop ML-solutions, including but not limited to handling large-scale datasets, implementing new ML-algorithms, -pipelines and -tools, automated testing of ML-models, deployment of models to production
Building prototypes, conducting experiments, and operationalizing machine learning solutions at scale
Contributing with software engineering-best practices for developing, maintaining, and operationalizing machine learning-solutions
Serve as point of contact during technical handover to relevant business units



What will convince us:
BSc or higher in computer science, machine learning, engineering physics or similar field
3+ years hands-on experience of applying machine learning
Fluent in Python programming. Experience in Scala and C++ is seen as a merit.
Experience with data science and machine learning libraries in Python, such as Pytorch, Numpy and Pandas
Experience in either big data-frameworks such as Spark, machine learning workflow-engines such as MLFlow/Airflow/Metaflow, data storage and structure for large data volumes, or distributed computing is seen as a merit
Creative mindset who loves to search for and implement the latest and greatest technologies

What we offer
Our ambition is to simplify progress in life science research and the biopharmaceutical industry to help translate scientific findings into new therapeutics faster and more efficiently. So that more people can obtain access to better medicine. Nearly 11,000 employees at more than 60 production and sales locations worldwide are committed to this vision. And together, we have grown strongly over the past years. Do you also want to contribute to our vision? Grow with us and benefit from working with a Global Player that has kept its familiar atmosphere:
Opportunity for international career development:
a global network offering seminars and training sessions, expert and manager career paths
Open and highly collaborative culture: mutual support within teams and working as equals, team spirit and international collaboration
Work-life balance: Working from home at many sites
Intelligent working environment: working in smart buildings with the latest technology and equipment
Ambitious goals: Sartorius plans to double its sales revenue approximately every five years and expects to grow its global team to approximately 15,000 people in 2025.
We look forward to receiving your application.