Are you looking for an innovative, agile working environment in the e-commerce sector with an impact on champions as well as hidden champions? Then you have come to the right place! Become a pioneer of digital transformation and support our fantastic team as a MACHINE LEARNING ENGINEER.
YOUR TASKS
- Train, evaluate and scale machine learning models.
- Integrate intelligent models for different services in enterprise infrastructures.
- Work in an environment with state-of-the-art technologies and frameworks to provide scalable, cost-effective and flexible high-quality solutions to our customers.
- Contribute your creativity and pioneering spirit to the further development of our machine learning architecture and the exploration of new trends.
- Your responsibilities will also include the end-to-end integration of data/ETL pipelines.
YOUR PROFILE
- You are confident in using the cloud environment (Azure or AWS).
You have experience developing with Python (optional/a plus Java, or other programming language).
- You have experience working around production Machine Learning applications and have knowledge of ML and Data Science workflows.
- You have already gained experience in the CI/CD area (e.g. Azure Pipelines, Github Actions, Gitlab).
- You have always described your infrastructure declaratively (Terraform).
- For you, communication is not a buzzword, but a prerequisite for daily work both within the team and between individual departments.
- Communication in English is not a hurdle for you.
WHY DICONIUM?
- Born digital: Benefit from our many years of experience and our agile up-to-date culture
- Appreciation: We rely on flat hierarchies and are respectful, loyal and appreciative
- Perspectives: We offer very different and individually tailored career models and a steep learning curve
- Life-Work-Balance: Fair working hours, home office, flexible working hours or sabbatical is no problem for us
- Benefits: In addition to retirement provisions, employee discounts and a wide range of sports activities, we offer great company outings and legendary parties