Machine Learning Engineer (m/f/x)
About this 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
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Responsibilities
- 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
Requirements
- Stay up to date with developments in artificial intelligence, machine learning, cloud technologies, and responsible AI
- 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