About the role
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
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