Mangopay is looking for a Senior ML Software Engineer with expertise in MLOps to join one of our Risk departments engineering teams. Our team is responsible for modern client-facing fraud prevention services, helping online merchants across diverse sectors like e-commerce, travel, crypto, and lending to maximize their risk management and customer acquisition investments. You will tackle a wide array of use cases, taking ownership of various code pieces and driving their direction. We foster a collaborative environment where everyone plays a crucial role.
responsibilities :
Develop, automate and optimize machine learning workflows, including CI/CD pipeline integration.
Collaborate with Platform Engineers to establish the necessary infrastructure for efficiently executing MLOps processes.
Work with data scientists to automate model training, tuning, and deployment.
Ensure compliance with data security and privacy standards.
Suggesting innovative enhancements to our AI initiatives.
requirements-expected :
At least 3 years of professional experience in MLOps or Data Engineering.
Intermediate proficiency in Python, including the scientific stack: Pandas, Numpy, and Scikit-learn.
Intermediate understanding of cloud computing. Familiarity with machine learning services (e.g., AWS SageMaker, Azure ML, GCP Vertex AI).
Proficiency in working with AWS, GCP, or Azure Cloud.
Proficiency in containerisation technologies such as Docker, with a foundational understanding of container orchestration platforms like Kubernetes.
Very good command of English.
Good command of Polish.
offered :
Join Mangopay and become an integral part of our innovative journey in the cybersecurity realm. Our environment thrives on learning and exploration. If youre passionate about problem-solving and mobile technologies, were eager to meet you!
We care about equal employment opportunities, so all qualified applicants will receive equal consideration regardless of their race, colour, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
