MLOps Engineer I
Checkout.com · Amsterdam
About this role
Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech - and we’re just getting started. As a ML (Machine Learning) Ops Engineer at Checkout.com http://checkout.com/ in the ML Platform team, you will contribute to the development of scalable systems that power real-time fraud detection and payment optimization. This is your opportunity to grow alongside top-tier engineers while making a tangible impact on millions of transactions globally. The solutions that you will be building will power our stack of value added services in the Payments Performance area. We’re a growing team in an expanding area within the company and we’re looking for individuals who have strong ownership, are passionate about productionising ML and have a pragmatic approach to converting big problems into smaller iterations to constantly deliver value. How you’ll make an impact - Build systems for training, deploying and monitoring machine learning models used in our payments platform, at scale - Scale our feature store to more and increasingly complex use-cases both online and offline - Deliver end to end features with
Excerpt from the posting Checkout.com published. Read the full description on their site before applying.
Apply to this role, tailored
Queue MLOps Engineer I at Checkout.com and I will read the posting, rewrite your resume against it, draft the cover letter, and score the fit before you send anything.
Applications finish as drafts. Nothing is sent until you read it and press send. New accounts start with 500 free credits.
More roles at Checkout.com
See all- Today
- Today
- Yesterday
- Yesterday
- Yesterday
- Yesterday
Similar roles elsewhere
See more- 2 days ago
Listed from the job board Checkout.com publishes. Refolk is not the employer and does not handle their hiring. Applications go to Checkout.com directly.