Checkout.com
fintech
SeniorMLOpsEngineer
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“Senior MLOps Engineer at Checkout.com. Skills: MLOps, ML Engineer, Python, production ML models, monitoring, observability, Cloud-based application development, ML frameworks. 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”
Industry & Context.
Curiosity to tackle open-ended problems
What They're Looking For.
Must Have
5+ years of experience as MLOps /ML Engineer, High proficiency in writing clear, production-ready Python code, Experience with production ML models (online or offline) and standard MLOps practices, Experience with monitoring and observability of production systems, with a sense of ownership, Familiarity in Cloud-based application development (we use AWS), Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, Databricks, SageMaker, Vertex AI, Kubeflow, Seldon, Triton, communication skills, able to express ideas clearly and collaborate across teams, Growth mindset, always on the lookout for stretch challenges, Curiosity to tackle open-ended problems and learn from failures
What You'll Do.
Build systems for training
deploying and monitoring machine learning models used in our payments platform
Scale our feature store to more and increasingly complex use-cases both online and offline
Deliver end to end features with full ownership under mentorship of talented engineers
How You'll Work.
Team & Collaboration
collaborate across teams
Communication Scope
able to express ideas clearly
Full Job Description
Company Description We’re Checkout.com http://Checkout.com - you might not know our name, but we’re behind many of the digital experiences people use every day. When you book a holiday, order food, renew a subscription or check out online with brands like Spotify, Klarna, Uber Eats, TikTok, Sony, or eBay, there’s a good chance our technology powers the payment behind the scenes. At Checkout.com http://Checkout.com, we’re building where the world checks out - enabling over ten billion transactions every year for more than one billion shoppers globally. Our platform helps the world’s most ambitious businesses deliver seamless digital experiences at scale. We’re also building a company designed for people who want to do career-defining work. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and a focus on 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
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