Senior Machine Learning Engineer

hace 7 días

Barcelona, Barcelona, España sennder A tiempo completo

About sennder

sennder is a leading digital freight forwarder that is revolutionizing the logistics industry with its data-centric approach. Our mission is to build the next generation of supply chain and road logistics services using cutting-edge technology.

About the Role

We are seeking a highly motivated and experienced Senior Machine Learning Engineer to join our central Machine Learning Engineering team. As a key member of our team, you will be responsible for defining the new state-of-the-art for machine learning engineering in the road logistics services.

Key Responsibilities

  • Apply data science concepts to solve complex problems such as pricing optimization, load-to-carrier recommendation, load search, and logistics network optimization.
  • Mentor junior to senior engineers to enable successful and impactful software deliveries.
  • Review technical roadmaps and deliveries across teams.
  • Design and develop health and performance monitoring tools for data pipelines and machine learning services in production.
  • Lead design reviews with peers and stakeholders to decide on available technologies.
  • Be hands-on when needed and review code developed by other developers to ensure best practices.
  • Lead the cross-team alignment effort on technical dependency finding and/or matching, cross-domain architectural design, and Artificial Intelligence-related topics.

Requirements

  • 4+ years of experience in deploying and maintaining in-production data pipelines working at scale that fuel or are fueled by machine learning models.
  • Above-average Python software engineering skills, including best practices like CI/CD and Git.
  • 2+ years of experience with modern MLOps setups.
  • Large experience with Agile philosophies and project management tools.
  • Solid understanding of machine learning product lifecycle and commonly associated components (MLOps).

What We Offer

  • A fast-growing scale-up with an international team of 1000+ people from 74+ nationalities.
  • A flexible, remote-first work model that allows for seamless virtual productivity and in-office collaboration.
  • A competitive compensation package including objective-based bonus, referral reward, and virtual option plan.
  • Vibrant offices with healthy snacks, focus zones, and social areas to connect with colleagues.

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