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Open nowPosted 11 days ago

Senior Data & Mlops Engineer

EURES job mobility portal441,128 open roles

Where
Utrecht, Netherlands
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Your applicationOpen nowSenior Data & Mlops EngineerEURES job mobility portal · Utrecht, Netherlands

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EURES job mobility portal's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.3% of postings close within 7 days. Measured by our own scanner across the market. EURES job mobility portal postings stay open a median of 6 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 8.3%7 days
  4. 15.3%14 days
  5. 34.2%30 days
This job: posted 11 days ago

EURES job mobility portal median: 6 days open

The posting

- Over bol - ESG - Life at - Early Careers - Over bol - Onze cultuur - Diversiteit & Inclusie - Wat je ervoor krijgt - Life at Senior Data & MLOps Engineer Build and operate the data and ML pipelines that keep recommendation systems reliable, scalable and production-ready. - Tech - Engineering - Bachelor / Master - 4.800-6.000 - Utrecht - 7-10+ jaar How do you make our customers happy? With 13 million customers, 129 million visits per month and about 41 million products on display, bol is the most successful online retail platform in the Netherlands and Belgium. Team Recommendations helps customers navigate that scale by making product discovery more personal, relevant and timely. That means combining data, machine learning and engineering craft to make life easier and more fun for customers, while learning fast and sharing what works along the way. Get to know Engineering The biggest challenge The biggest challenge is helping customers discover the right products and content at the right moment in their journey. That can mean supporting a purchase decision, completing an order, or inspiring a customer to explore more of our assortment. With millions of products, thousands of partners and changing customer intent, this is not a trivial problem. You will help us make recommendation data fresh and reliable, orchestrate workflows and serve them in real time with models that are fast, reliable, maintainable and scalable. What you will do as Senior Data & MLOps Engineer Team Recommendations creates personalised and non-personalised recommendations for customers across bol. Data scientists in the team explore recommendation approaches and evaluate model quality; software engineers help integrate recommendations into customer-facing products; and in this role, you focus on the production foundations that make those solutions dependable: data pipelines, workflow orchestration, observability, deployment and operational r...

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