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    Senior Machine Learning Engineer - London, United Kingdom - Expedia Group

    Expedia Group
    Expedia Group London, United Kingdom

    Found in: Talent UK C2 - 1 week ago

    Default job background
    Full time
    Description

    Senior Machine Learning Engineer

    Are you fascinated by machine learning and building robust machine learning services which process massive amounts of data at scale and speed to provide crucial insights to the end consumers?

    This is exactly what we, the Machine Learning Engineering group in Expedia, do. Our mission is to use AI/ML to transform Expedia's data assets into intelligent and real-time insights to support a variety of applications which are used by 1000+ market managers, analysts, our supply partners, and our travelers. Our work spans across a variety of ML models and datasets and across a diverse technology stack including Spark, Airflow, Databricks, Kubernetes, AWS and much more

    What you'll do:

    • Work in a cross-functional team to lead the design and development of large scale batch and real-time ML Services
    • Lead the end-to-end product life cycle for mid to large scale machine learning projects: Design, development, model validation/testing, model deployment and monitoring
    • Find and advocate for Industry standards and best practices in applied machine learning methodologies, techniques, and technologies
    • Innovate and implement new ideas to solve complex problems and prototype creative solutions to enable product MVP's
    • Independently understand scheduling, cost constraints, and impact to other teams; and make resource and architectural trade-offs based on those factors
    • Anticipate and prevent problems and roadblocks, before they occur, and present technical issues and their impact to leadership
    • Lead, coordinate, and collaborate on multiple concurrent and complex cross-organizational initiatives
    • Effectively build and maintain a network of key contacts across company, and leverage these contacts to achieve results
    • Communicate and work effectively with geographically distributed cross functional teams
    • Drive for continuous improvement in software and development process within an agile development team

    Who you are:

    • Master's Degree or PhD in computer science
    • Extensive experience in Applied Machine Learning: building ML Services for e-commerce, recommender systems etc.
    • Experience in optimization and validation of ML Services
    • Experience on machine learning toolkits like spark mllib, H20, scikit-learn, R and ML techniques
    • Strong command with machine learning libraries such as PyTorch and Tensorflow and knowledge of common integration patterns for serving inference with them
    • Familiar with training models with very large datasets and strategies for parallelizing and optimizing the training jobs especially with GPUs or large-compute
    • Experience with AWS
    • Strong experience working with ML platforms (Databricks, SageMaker, etc.)
    • Solid knowledge in SQL (T-SQL/PL-SQL), ETL and data modelling
    • Experience with microservice architecture, and design
    • Familiar with machine learning inference at scale. Can instrument streaming or parallel inference tasks to accommodate large traffic or volume of data
    • Experience working with Agile/Scrum methodologies
    • Familiarity with the e-commerce or travel industry
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