Master Thesis Data Science and MLOps for Industrial Process Automation (m/f/d)

apartmentBASF-Gruppe placeLudwigshafen am Rhein calendar_month 
Master Thesis Data Science and MLOps for Industrial Process Automation (m/f/d) LOCATION Ludwigshafen am Rhein COMPANY BASF SE JOB FIELD Forschung & Entwicklung JOB CONDITIONS Praktika & Abschlussarbeiten JOB ID 118257-de_DE WELCOME TO BASF
We are a leading global research organization with over 3000 employees working in the field of material and analytical science, chemical synthesis, process development, bioscience, catalysis and digitalization. With our creative and diverse teams as well as our cutting-edge research, we help to make our customers more successful and drive the sustainability transformation.

WHAT YOU CAN EXPECT

We are seeking a highly motivated and talented individual to join our team for a master thesis project focused on MLOps and Data Science in Industrial Process Automation. This is an exciting opportunity to work on cutting-edge technologies and contribute to the advancement of industrial automation.
You will conduct research on MLOps practices and their application in industrial process automation. Moreover, you will benchmark different MLOps frameworks (e.g., Airflow, Metaflow, Dagster, Databricks, Kedro, MLFlow, Comet ML, Weights & Biases, Delta Lake) to identify the advantages and limitations of each framework based on sample dataset.
You will develop the most efficient and appropriate MLOps pipelines for monitoring and deploying data-driven models. In addition, you will write unit and integration tests for each method in the pipeline as well as compile documentation in Sphinx.

You will implement data and model versioning as well as model monitoring. Last but not least, you will evaluate and optimize model deployment strategies for both CPU and GPU environments. WHAT YOU OFFER

advanced Master´s degree in Data Science, Computer Science, Engineering, Physics, or a related field strong knowledge of Python programming (e.g. PyTorch, Numpy) as well as good understanding of MLOps fundamentals good programming knowledge with writing unit and integration tests using pytest familiarity with containerization and orchestration tools like Docker with CI/CD automation is a plus experience with models deployment in CPU and GPU environments is a plus strong communication skills in English excellent problem-solving skills and attention to detail ability to work independently and as part of a team WHAT WE OFFER

Practical phase
  • actively apply theory in challenging and varied tasks/projects Teambuddy
  • contact person for all questions and regular feedback Networks
  • get to know different perspectives, ways of thinking and fields of work Internship compensation
  • a recognition of the commitment, more information here: http://on.basf.com/compensationBASFSE Flexible working hours
  • depending on the location and area of work HOW TO REACH US

Do you have any questions about the application process or the position? Please reach out to: Oliver Spigaht, oliver.spigaht@basf.com, Tel.:+49 30 2005-56305 First information about our application process can be found here: http://on.basf.com/applicationprocess . ABOUT US

BASF SE, located in Ludwigshafen am Rhein, is the corporate headquarters of the BASF Group and part of the Rhine-Neckar Metropolitan Region. BASF stands for competence in chemistry since 1865 and is represented today in the world's major consumer markets, with a wide range of products.
As the largest employer in the region, BASF SE offers multiple career opportunities for students, university graduates and professionals providing also training in over 30 professions. Leisure, sports, culture and a good infrastructure characterize the Rhine-Neckar Metropolitan Region, in which BASF is also involved with numerous activities.

Learn more about BASF SE at http://on.basf.com/BASFSE_LU Diversity is our greatest strength!

Become a part of our winning formula for success and develop the future with us - in a global team that embraces inclusion and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.

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