- Develop, train, evaluate, and deploy machine learning models for real-world business and logistics use cases
- Work with data scientists, software engineers, business stakeholders, and logistics experts to translate business challenges into scalable technical solutions
- Build reliable data pipelines and feature engineering processes for training and production environments
- Productionize machine learning models using appropriate software engineering
- Contribute to the design of machine learning platforms, APIs, and data products
- Document models, assumptions, interfaces, processes, and results clearly
- Support the adoption of best practices in machine learning, software development, testing, version control, and deployment
- Stay up to date with developments in artificial intelligence, machine learning, cloud technologies, and responsible AI
Type: Onsite
Your mission
- Develop, train, evaluate, and deploy machine learning models for real-world business and logistics use cases
- Work with data scientists, software engineers, business stakeholders, and logistics experts to translate business challenges into scalable technical solutions
- Build reliable data pipelines and feature engineering processes for training and production environments
- Productionize machine learning models using appropriate software engineering
- Monitor model performance, data quality, reliability, and potential model drift
- Contribute to the design of machine learning platforms, APIs, and data products
- Document models, assumptions, interfaces, processes, and results clearly
- Support the adoption of best practices in machine learning, software development, testing, version control, and deployment
- Stay up to date with developments in artificial intelligence, machine learning, cloud technologies, and responsible AI
Your profile
- Degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field
- Professional experience developing and deploying machine learning solutions
- Solid understanding of machine learning concepts, model evaluation, statistics, and data preparation
- Familiarity with cloud platforms and modern data or machine learning infrastructure
- Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
- Strong analytical and problem-solving skills
- Fluent English, both written and spoken
Why us?
- A permanent employment contract and very good individual development and advancement opportunities in a globally active company
- Work Life Balance with homeoffice opportunities
- An attractive salary and other benefits, such as "emplu", “Lease a bike” and “EGYM Wellpass”
- A subsidized company pension scheme, capital formation benefits
- A subsidy on public transportation
- A company with flat hierarchies where you can grow and feel comfortable
- A challenging and varied job as well as independent work
- A pleasant and collegial working environment
- A new modern office
This overview was written from the original listing to help you understand the role. Always confirm the specifics on the employer’s application page.
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Machine Learning Engineer (m/f/x) arbeitnow F H Bertling Hamburg · 9/30/2026 Arbeitgeber: Primetime
SoSafe ist ein hervorragender Arbeitgeber, der dir die Möglichkeit bietet, in einem dynamischen und hochmotivierten Team zu arbeiten, das Vielfalt und Innovation schätzt. Mit flexiblen Arbeitszeiten, 33 Tagen Urlaub und einem individuellen Weiterbildungsbudget unterstützt SoSafe nicht nur deine berufliche Entwicklung, sondern sorgt auch für eine ausgewogene Work-Life-Balance. In Köln hast du die Chance, Teil eines schnell wachsenden Scale-ups zu werden, das sich aktiv für die Sicherheit in der digitalen Welt einsetzt und dir zahlreiche Möglichkeiten zur persönlichen und fachlichen Entfaltung bietet.
