MLOps Engineer (Banking Fraud Detection)

Описание The team designs, builds, and implements machine learning models for banking fraud detection. It works with various divisions of the ING Group across multiple countries and uses a Scrum framework.

Задачи • Optimize code and compute, and perform unit testing • Schedule and distribute code on the data analytics platform • Work with the shared model development codebase • Assist with model development and deployment • Collaborate with data scientists in the squad • Maintain systems

Требования • Experience with cloud platforms, including GCP and Azure DevOps • Experience with GitHub, Airflow or Cloud Composer, Spark or DataProc, Terraform, and containerization • Data and software engineering proficiency, with a focus on distributed computing using Spark 3.5+ • Familiarity with Clean Coding paradigms and programming experience in Python • Understanding of MLOps and experience with ML model deployment • Familiarity with model development frameworks, including Scikit-learn, Pandas, and NumPy • Strong problem-solving, attention to detail, independent work, collaboration, communication, and teamwork skills • English proficiency at B2 level • Будет плюсом: hands-on experience with code and compute optimization, tuning and testing; experience handling large datasets for fraud detection models; a master's degree in computer science, statistics, data science, or a related field; experience with other machine learning frameworks and libraries; relevant certifications; banking…