Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
Key requirements include proficiency in writing clear, production-ready Python code, familiarity with production ML models and MLOps practices, monitoring and observability of production systems, cloud-based development on AWS, and experience with ML frameworks like scikit-learn, xgboost, TensorFlow, or PyTorch.
This information is not specified in the job description.
This information is not specified in the job description.
The culture emphasizes real ownership, fewer blockers, fast-moving performance-obsessed teams, and work that makes a difference from day one, with a growth mindset and passion for productionizing ML.
Strong candidates demonstrate a growth mindset, curiosity for open-ended problems, strong communication skills, and a pragmatic approach to delivering value through ownership and collaboration.
High-performance payments platform for enterprises
Checkout.com provides a payments platform that helps businesses process payments, send payouts, and manage card programs. The platform is designed for large enterprises and growing businesses, allowing them to handle high volumes of transactions quickly and reliably. It integrates with clients' existing systems and offers a range of payment services, generating revenue through transaction fees and subscriptions. Unlike many competitors, Checkout.com focuses on providing a comprehensive, cloud-based solution that supports the financial operations of its clients across the globe. The goal of Checkout.com is to streamline payment processes and enhance the payment experience for both businesses and their customers.