F H Bertling
2 hours ago
Machine Learning Engineer (m/f/x)
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Company information
- Company
- F H Bertling
- Location
- Hamburg Germany
- Posted
- 2 hours ago
Job description
Your mission
Your profile
Why us?
- 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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Required skills
- english
- logistics
- engineering
- problem-solving
- ai
- software engineering
- cloud technologies
- apis
- artificial intelligence
- machine learning
- data science
- version control
- cloud platforms
- computer science
- data quality
- statistics
- work life balance
- data pipelines
- mathematics
- data products
- data infrastructure
- model development
- responsible ai
- homeoffice
- model deployment
- model monitoring
- ml infrastructure
- feature engineering
- model training
- model evaluation
- ml engineer
- model drift
- ml platforms
- productionization
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