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Job Description
Buynomics is seeking a Senior Machine Learning Engineer to join their Machine Learning Applications Team. The ideal candidate will develop and enhance advanced end-to-end machine learning solutions that provide insights into shopper behavior. This role involves collaborating with Data Scientists and Engineers to design and implement efficient systems that drive business value.

Responsibilities:
  • Lead working streams by driving decision making regarding technical designs and coordinating development efforts
  • Drive efficient and agile development of machine learning models
  • Facilitate timely delivery by resolving blockers and aligning short term and tactical decisions
  • Collaborate with cross-functional development teams to ensure seamless integration of machine learning solutions into core processes, with a focus on aligning with front-end and UI requirements
  • Deliver high-quality, reliable code and clear documentation to support collaboration and long-term maintainability across teams
  • Provide mentorship and guidance to help grow our team of passionate machine learning engineers and modellers

Requirements:
  • 5+ years of experience building end-to-end machine learning solutions, ideally in a SaaS environment
  • Proven ability to design scalable, maintainable, and production-ready ML systems
  • Hands on experience with efficient, parallel ETL pipelines and cloud-based data processing
  • Strong programming skills in Python and hands-on experience with ML libraries such as NumPy, Pandas, PyTorch, scikit-learn, and Pydantic
  • Ability to translate complex business problems—especially in RGM contexts—into effective technical solutions
  • Attention to detail and quality, with a strong inclination toward clarity and simplicity in solutions
  • Strong collaboration skills, with experience working closely with both Data Scientists and Engineers
  • Excellent communication skills in English

What Buynomics offers:
  • A vibrant, international, and diverse work environment
  • Flexible work options: remote within the EU with occasional visits to our Cologne HQ or Barcelona office or a hybrid setup in one of these locations
  • A dedicated learning budget to support your professional growth and development
  • Local language lessons (Germany and Spain)
  • Health and fitness benefits (Germany and Spain)
  • Personal and professional growth opportunities
  • Regular company events
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