Senior Machine Learning Engineer (m/w/d)
- Published on
About the Role
As a Senior Machine Learning Engineer at BWI GmbH, you will contribute to Germany's IT future by addressing sophisticated challenges within the field. Your responsibilities will include assessing new research and industry innovations related to machine learning, evaluating innovative training methods, and developing prototypes while providing consultancy on technology-related queries.
About the Candidate
We expect candidates to possess:
- A completed degree in Computer Science, Mathematics, or a comparable field.
- A minimum of 5 years of relevant professional experience in the Data Science environment post-degree.
- Excellent programming proficiency in object-oriented languages like Python.
- Good knowledge of Linux and basic understanding of cloud infrastructures, such as Kubernetes, and databases, including vector databases and NoSQL.
- The ability to present on multiple levels, for expert and layman audiences. Additionally, candidates should demonstrate independence, result orientation, decision-making, and communication skills, as well as a high tolerance for frustration when working with emerging technologies.
About the Company
BWI GmbH is the IT system house of the German Armed Forces and a service provider for federal IT, addressing the core IT needs of Germany and employing over 7,000 individuals. With an aim to innovate and improve IT security and future readiness, the company leads with a technology-first approach, constantly striving to evaluate and identify new technologies and possibilities in collaboration with the German armed services.
Company Culture and Benefits
We offer a compelling and socially relevant work environment where we ensure the IT security and future viability of Germany. Benefits include:
- Versatile tasks contributing to the national digital future.
- Mobile working opportunities, including telecommuting options.
- Competitive remuneration with job security and employer-funded retirement plans.
- 30 days of vacation with the option for personalization.
- Flexibility to balance professional and personal life along with individual training budgets.
- Access to LinkedIn Learning and BWI Academy offerings.
- Provision of modern IT equipment, including high-performance laptops and smartphones.
- Bicycle leasing options with salary exchange benefits.
- A digital benefits card loaded monthly for personal use.
Other Highlights
Employees may also enjoy mobile work options up to 20 days a year in various European countries, along with a structured and supportive work environment that encourages continuous learning and personal growth.