Machine Learning Engineer

Your role What you'll be doing What We Need   Corpay is currently looking to hire a Machine Learning Engineer within our International Vehicle Payments division. This position falls under our Vehicle Payments line of business and is located in Prague, Czechia. As a Machine Learning Engineer, you will help build, deploy, and support ML and AI solutions used across the business, from predictive and statistical models through to LLM-powered applications. You will work closely with Data Scientists and Engineering teams to turn models and prototypes into reliable, scalable applications and services. On the AI side, you will help develop LLM-powered and conversational AI applications, including chatbots, voicebots, RAG-based solutions, and agentic AI workflows. You will report to a Senior Machine Learning Engineer and regularly collaborate with Data Science, Software Engineering, Data Engineering, Product, and other technology teams across the business. How We Work   As a Machine Learning Engineer you will be expected to work from our Prague office. Corpay will set you up for success by providing:  Assigned workspace in our Prague office Company-issued equipment Formal, hands-on training Role Responsibilities   Build, productionise, and support ML and AI solutions. Develop reusable ML workflows covering data preparation, training, validation, deployment, and inference. Build LLM-powered applications, including chatbots, voicebots, RAG-based solutions, and agentic AI workflows. Work alongside Data Scientists to turn experimental models and prototypes into production-ready solutions. Develop and maintain data pipelines supporting ML workloads. Deploy and operate ML and AI workloads in our cloud and OpenShift environments. Create APIs and integration layers that make ML capabilities available to applications and internal systems. Apply Software Engineering best practices: version control, automated testing, code review, CI/CD, and documentation. Monitor production ML and AI solutions for reliability, performance, data quality, and model behaviour. Collaborate with Data Engineering, Software Engineering, Product, and other technology teams on ML and AI delivery. Investigate and resolve technical issues across ML pipelines and applications. Document technical solutions and communicate findings and implementation decisions to technical and non-technical stakeholders. Qualifications & Skills   Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, ora related technical field. 2+ years of experience delivering measurable business value by building and deploying production-scale machine learning models. Solid Python programming skills and experience with common data and ML libraries (pandas, NumPy,scikit-learn). Good understanding of ML concepts and the ML development lifecycle., Experience using SQL for querying and working with data. Hands-on experience with at least one…