Senior Machine Learning Engineer (m/w/d)
BWI GmbH — Bonn, DE
- Published on
About the Role
Join BWI GmbH as a Senior Machine Learning Engineer (m/w/d) to ensure the digital future viability of our country. You will work in our Chief Technology Office (CTO), which focuses on strategic renewal and is aided by our Technology Center AI & Cloud (TC).
Your Responsibilities
- Evaluate new research and industrial developments in language models and agent-based systems.
- Assess innovative machine learning training methods as well as data processing techniques.
- Develop prototypes and provide consulting on technology issues.
- Conduct presentations for varied audiences.
Your Profile
- Completed degree in Computer Science, Mathematics, or a related field.
- At least 5 years of relevant professional experience in the Data Science field post-graduation.
- Excellent programming skills in object-oriented languages such as Python.
- Good knowledge of Linux and basic understanding of cloud infrastructures (e.g., Kubernetes), and databases (e.g., vector databases, NoSQL).
- Ability to present at different levels, from experts to laypersons.
- High degree of self-reliance, result orientation, decision-making, and communication skills.
- Strong frustration tolerance when working with technologies in alpha and beta stages.
- Fluent German and very good English language skills, both oral and written.
About the Company
BWI GmbH is an IT service provider conducting comprehensive IT services for the Bundeswehr with more than 7,000 employees, being one of the top ten IT service providers in Germany. Our Technology Center focuses on identifying and evaluating cutting-edge technologies for their applicability and usage in the Bundeswehr.
Company Culture and Benefits
- Diverse and socially relevant tasks that ensure Germany’s IT security and future viability.
- Mobile working options, with the possibility of alternating or home-based teleworking.
- Competitive salary, secured employment, and an employer-financed retirement plan.
- 30 days of annual vacation with options for individual adjustments.
- Flexibility to balance work and personal life.
- Individual training budget and free access to LinkedIn Learning and BWI Academy offerings.
- Provision of a modern laptop (HP EliteBook), a high-end smartphone (Samsung or Apple), and additional IT equipment for your workspace.
- Bicycle leasing option through gross salary conversion.
- Individual savings account for future use such as sabbaticals.
- Ability to work remotely for 20 days a year in various European countries.
- Digital benefit card with monthly top-ups for personal use, such as grocery shopping.