What you will do as Senior Machine Learning Engineer Team Recommendations creates personalised and non-personalised recommendations for customers across bol. We work across the full data science life cycle: understanding current solutions and hurdles, experimenting with better approaches, aligning with stakeholders, and bringing the most promising solutions into production.
As a Senior Machine Learning Engineer, you turn complex machine learning ideas into reliable products by choosing suitable architectures, frameworks and technologies, and by solving the technical, data-related and computational challenges that come with operating ML at scale. You communicate your solutions to technical, business and operations audiences, and you work with your team and stakeholders to make practical use of current leading technologies.
Scale out our analyses and algorithms to improve our recommendations
Collaborate on improving our current ML pipelines that support and ensure that our recommenders are up to date and easy to maintain
Work together with the team to envision how we can bring data science solutions for recommendations purposes to production
Why you can make a difference You can make a difference in this role if you enjoy turning complex data and machine learning challenges into practical solutions that work in the real world. We are looking for someone who loves working with data, brings curiosity and creativity to the team, and is comfortable collaborating closely with others to move from ideas to impact. You do not need every answer upfront; what matters is that you can make thoughtful trade-offs, learn quickly, and help the team make progress while keeping quality in mind.
In Team Recommendations, priorities can shift as we learn more about our customers, our systems and the opportunities in front of us. That means you should feel at home in an iterative way of working, where the end-state is not always fully known from the start. You balance short-term delivery with long-term technical viability, take ownership of the systems and solutions you work on, and proactively look for ways to improve reliability, scalability, efficiency and costs. If you combine a “getting things done” mindset with engineering care and a healthy sense of humour, you will fit right in.
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Lead AI/ML Engineer in The Hague werkgever: Y-Axis
Colliers International is een uitstekende werkgever die zich richt op de ontwikkeling van zijn medewerkers in een informele en open werksfeer. Met 28 vakantiedagen, premievrij pensioen en diverse opleidingsmogelijkheden, biedt Colliers niet alleen een stimulerende omgeving voor professionele groei, maar ook een cultuur die diversiteit en inclusie waardeert. Werken in Eindhoven betekent bovendien dat je deel uitmaakt van een dynamisch team dat zich inzet voor duurzame vastgoedoplossingen en langdurige klantrelaties.
