Further development of the proprietary machine learning framework
Prototyping and productification of algorithms and mathematical models
Integration, extension and modification of common machine learning libraries
Development of efficient and scalable data transformations
your profile:
Master’s degree in mathematics, computer science or a comparable technical course of study; or a sound education in the field of computer science, comparable education with relevant experience and IT affinity also possible
Specialization in at least one of the following areas:
Machine Learning
Optimisation, especially non-linear & discrete optimisation
Discrete mathematics & graph theory
Stochastics, especially stochastic processes
Very good programming skills in Python
Experience with Data Science relevant libraries, such as numpy, pandas, scikit, tensorflow, etc.
WHAT WE OFFER:
A cooperative work environment offering the scope for individual ideas, creativity and concepts
International projects with the opportunity to work remotely, as well as a transparent work and travel time model
A broad work relationship
Extensive training and development measures
Employee benefits, a safe working environment, employee discounts, as well as facilities to make everyday life easier
Complimentary drinks, fresh fruit and an attractive offering of sports and other activities by our Active Balance Program
Your contact is Anna-Magdalena Metzner.
Are you interested in a career with broad perspectives? Send us your full application now and earliest possible starting date via our career portal.