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    Remote Machine Learning Engineer - Köln, Deutschland - AI Futures

    AI Futures
    AI Futures Köln, Deutschland

    vor 2 Wochen

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    Beschreibung
    Join my clients team within the Analytics division of a well known company in the German food retail sector.

    As part of the Customer, Analytics & Technology department, you'll be at the forefront of strategic, analytical, and business support functions, contributing to the integration of advanced analytics and artificial intelligence into key business decisions.

    Embrace the opportunity to shape the future of analytics in German food retail through agile methodologies and cross-functional teamwork.
    Taking ownership of the entire pipeline lifecycle, from data analysis to model optimisation and automation.
    # Driving innovation by contributing to infrastructure development using ML Ops or DevOps methods.
    # Collaborating closely with data engineers, data scientists, and other departments to enhance existing products and facilitate roll-out.

    Strong analytical and conceptual thinking skills with a passion for machine learning and data.
    # Service-oriented and team-oriented mindset, thriving in an agile and dynamic environment.
    # A bachelor's or master's degree focusing on analytics, along with experience in machine learning.
    # Proficiency in Python and ideally SQL, along with familiarity with unit testing, version control, and CI/CD.
    # Extensive experience across the machine learning life cycle, including setting up and operating pipelines with tools like dbt, ML Flow, or Airflow, and common data science libraries like pandas and scikit-learn.

    Competitive compensation with attractive benefits including holiday and Christmas bonuses, company pension scheme, and more.
    # Employee discounts at various outlets.
    # Flexible working hours, home office options, and support for work-life balance.
    # Opportunities for personal development through seminars, tech talks, and participation in conferences.
    # Health management initiatives including preventive examinations and sports activities.
    # Collaboration with agile development teams in a big data context.
    # Access to company-wide networks for professional and personal development.
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