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Machine Learning Engineer i @ Employer

NL32B, NLOnsiteContract
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About this role

Machine Learning Engineer I About Us: At Booking.com , data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We're the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

The team

Supplier Integrity Product is part of Booking.com 's Supplier Fraud organisation. Our mission is to keep Booking.com 's accommodation supply trustworthy and economically healthy by detecting, preventing, and remediating partner-side integrity issues such as commission avoidance, fake reviews, bait-and-switch, collusion, and other abusive behaviours.

  • Role Description: As a Machine Learning Engineer at Booking.com , your work will focus on training and deploying machine learning models (Classification, Deep Learning, Optimization, Natural Language Processing, Active Learning) using the most advanced technologies and models.
  • You will be responsible for identifying and using the most appropriate data sources and modeling techniques to solve complex problems and drive measurable business value.
  • You will also help in building new products and solutions by driving a research agenda and development plan from ideation to prototyping to full productionisation in the team, and using opportunities to contribute to a vibrant department's ML community.
  • Key Job

Responsibilities and Duties

  • Develop production-ready ML systems, focusing on models, features, and pipelines, with a focus on reliability and scalability.
  • Collaborate with others to monitor the health and performance of systems, with guidance from senior engineers.
  • Assist in business-related data governance processes, including technical implementation and maintenance of ...

Skills

Machine LearningDeep LearningClassificationNatural Language Processing (NLP)active learningScalabilityReliabilityData Governance

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