Senior MLOps Engineer in Pershiy Ukrayinskiy Mizhnarodniy Bank, AT / PUMB

QUALIFICATIONS AND EXPERIENCE: Necessary: ​​· Higher financial and economic, mathematical or information technology education. · At least 3 years of work experience as an MLOps/ML Engineer · At least 3 years of Python programming experience, incl. . Data Science/Machine Learning stack · Experience with SQL/NoSQL for at least 3 years (including writing queries, procedures and query optimization) · Experience setting up CI/CD pipelines for ML (in GitLab, Jenkins, etc), including h. creation of custom pipelines · Experience in the operationalization of machine learning models · Experience in working with tools for containerization (e.g. Docker) and orchestration of machine learning models (AirfFlow, MLFLOW, KubeFlow) · Practical experience in designing data models during the development and implementation of IT solutions · Experience in the development of ETL/ELT processes · Experience in the development and deployment of machine learning models in the form of REST API, Batch process, Online High Performance · In-depth knowledge of Linux and Windows operating systems (including architecture, principles, etc.) · Balancing settings load, query proxying and fault tolerance of applications. Desired: · Experience in banking or finance · Knowledge of the Hadoop, Spark ecosystem · Experience with cloud platforms (eg AWS, GCP, Azure) Functional responsibilities: · Setting up and maintaining a working DEV environment for the collective work of the Data Science team and the launch of machine learning models with the selected technology stack on the server.· Setting up the orchestration of tasks for the work of models in industrial operation.· Participation in the integration of developed machine learning models into the Bank's systems.· Setting up CI/CD pipelines for machine learning models .(· Creation of web services for the use of machine learning models.· Execution of operationalization of machine learning models to solve relevant business tasks· Support of deployed machine learning models· Development and maintenance of data models for Data Science projects.· Execution of loading, preparation and transformation of the necessary data for the implementation of Data Science models for solving relevant business tasks, creating relevant ETL tasks. Automation of data work processes for Data Science projects. Why FUIB? The best employer among financial institutions of Ukraine according to the Forbes rating Comfortable working conditions Professional and friendly team· Continuous development and opportunities for professional growth· Comprehensive support of employees· Medical insurance.