(Senior) Machine Learning/MLOps Engineer (m/f/d)

(Senior) Machine Learning/MLOps Engineer (m/f/d)

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Company: BASF Digital Farming GmbH
Location: Köln
Type: Full Time
Created: 2021-04-15 05:00:13

Click here for the application form!

(Senior) Machine Learning/MLOps Engineer (m/f/d)

LOCATION Köln, DE, 50678

COMPANY BASF Digital Farming GmbH

JOB FIELD IT / Information Management


JOB ID EN59229441_ONLE_1

Agriculture is all about balance. The balance that is crucial to everyone's existence - also applies to our Agricultural Solutions division. We connect innovative thinking with practical action to find the right balance for success - for farmers, agriculture and future generations. With seeds and traits, crop protection and digital solutions, we help farmers produce food more efficiently, protect the land and meet the needs of society.


  • With its xarvio(TM) product portfolio the BASF Digital Farming GmbH enables farmers to improve and automate agriculture - using data: smart sensors, advanced models and artificial intelligence.
  • You will operationalize data pipelines as well as machine learning models to serve into products, features and/or services.
  • Furthermore, you will design and implement our machine learning infrastructure in the cloud.
  • In addition, you will build robust data pipelines for computer vision and spatio-temporal machine learning use cases.
  • Last but not least, you will translate machine learning models into micro services, ensure reliable service quality and provide appropriate monitoring.


  • master's degree in computer science with at least two years of professional work experience in applying machine learning methods to products, features or services, including minimizing footprint, evaluating tradeoffs, pipeline work and CI/CD practices
  • expertise in Python, R and/or Java development as well as strong knowledge of AWS technologies and services including SageMaker
  • well-versed in container technologies (like Docker) and microservice architectures as well as experience in writing infrastructure as code e.g. through terraform or cloud formation
  • good knowledge in at least one area of machine learning, such as deep learning, computer vision, supervised and unsupervised learning or spatio-temporal modelling
  • fluent German and English language skills


  • Onboarding to help you settle in quickly, ensuring you are part of the BASF team from day one.
  • International work culture that embraces diversity, equity and inclusion.
  • Development discussions and programs so that you can reach your full potential.
  • Flexible work arrangements so that you can balance your working life and private life.



Please apply via the application form. Click here for the application form!

Please note that we do not return paper applications including folders. Therefore please submit only copies and no originals.

First information about our application process can be found here: http://on.basf.com/applicationprocess.

Do you have any questions about the application process or the position? Karina Urich, Tel.: +49 30 2005-58528

xarvio Digital Farming Solutions powered by BASF is at the forefront of the digital transformation of agriculture optimizing crop production. xarvio offers digital products, based on a global leading crop model platform, which deliver independent field-zone-specific agronomic advice enabling farmers to produce their crops most efficiently and sustainable. The xarvio products SCOUTING, FIELD MANAGER and HEALTHY FIELDS are being used by farmers in more than 100 countries worldwide. Working at BASF Digital Farming GmbH is equally as innovative as our products: we have a global network and work with agile methodologies in a start-up atmosphere. Join our team! Learn more about xarvio at www.xarvio.com or visit any of our social media channels.

At BASF, the chemistry is right. Because we are counting on innovative solutions, on sustainable actions, and on connected thinking. And on you. Become a part of our formula for success and develop the future with us - in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.