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F H Bertling

Machine Learning Engineer (m/f/x) at F H Bertling, via carbon.talent

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Your mission • • Develop, train, evaluate, and deploy machine learning models for real-world business and logistics use cases • Work with data scientists, software engineers,…

Hamburg

Stack

AIMachine LearningLogisticsSoftware EngineeringData ScienceComputer Science

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


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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