Machine Learning Engineer I - Traveler Intelligence

Booking.com

Closed

Amsterdam

1 week ago

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Machine Learning Engineer I - Traveler Intelligence

Booking.com is seeking a Machine Learning Engineer I for its Traveler Intelligence track in Amsterdam. The role involves developing production-grade ML systems, building scalable models and pipelines, and taking ownership of services end to end. Requires 2+ years of experience in applying ML to business problems, strong Python and Spark skills, and excellent English communication.

AIHybridFull-timeMid LevelMachine LearningRecommender Systems

Machine Learning Engineer I - Traveler Intelligence

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AIHybridFull-timeMid LevelMachine Learning

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

2 years

Employment Type

Full-time

Experience Level

2+ years of relevant work experience

Core Qualifications

Technical (Must-have)

Machine LearningRecommender SystemsDeep LearningInformation RetrievalComputer VisionSpeech RecognitionCausal InferenceMLOpsPythonApache SparkA/B TestingVersion Control

Soft Skills

CommunicationAdaptabilityActive listeningCoaching

Key Responsibilities

•Develop production-grade ML systems, from models to features and pipelines, accounting for reliability, scalability, real-time requirements, monitoring and retraining.
•Build readable and reusable code, applying code quality best practices and using standard libraries.
•Take full ownership of your services end to end by actively monitoring the systems health, performance and business impact.
•Be responsible for business related data governance processes, the technical implementation and maintenance of data processing services and storage systems, and the implementation and maintenance of ML governance processes.
•Evaluate possible architecture solutions taking into account the business and technology requirements.
•Set the relevant service level objectives SLOs and act accordingly when they are not met.
•Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies.
•Contribute to the internal ML/AI community by sharing your knowledge and participating in our internal ML programs.
•Coach others through evidence and clear communication, explaining advanced technical concepts in simpler terms.
•Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of disciplines.
•Achieve mutually agreeable solutions by staying adaptable, communicating ideas in clear coherent language and practicing active listening.

Machine Learning EngineerTraveler IntelligenceBooking.comAmsterdamHybridFull-timePythonApache SparkMLOpsDeep Learning

Key Responsibilities

•Develop production-grade ML systems, from models to features and pipelines, accounting for reliability, scalability, real-time requirements, monitoring and retraining.

•Build readable and reusable code, applying code quality best practices and using standard libraries.

•Take full ownership of your services end to end by actively monitoring the systems health, performance and business impact.

•Be responsible for business related data governance processes, the technical implementation and maintenance of data processing services and storage systems, and the implementation and maintenance of ML governance processes.

•Evaluate possible architecture solutions taking into account the business and technology requirements.

•Set the relevant service level objectives SLOs and act accordingly when they are not met.

•Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies.

•Contribute to the internal ML/AI community by sharing your knowledge and participating in our internal ML programs.

•Coach others through evidence and clear communication, explaining advanced technical concepts in simpler terms.

•Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of disciplines.

•Achieve mutually agreeable solutions by staying adaptable, communicating ideas in clear coherent language and practicing active listening.