Machine Learning Engineer - Allegro Pay

Your responsibilities, Developing a modern MLOps ecosystem aimed at automating the process of building and deploying machine learning models., Designing and implementing a modern platform for training predictive models (classifiers, deep neural networks, graph models)., Deploying models to production and optimising deployment pipelines, to enable Data Scientists’ self-service., Managing, monitoring, and recalibrate models deployed to production., Supporting work on our Feature Store - an application providing predictors for models operating in production., Finding synergies and building connectors with FinTech AI platform, enabling agentic workflows to interact with our models and features. What we offer, Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work., Annual bonus based on your annual performance and company results (up to 10% of the gross annual salary depending on your end-year assessment)., Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms)., A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories., A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers)., English classes that we pay for related to the specific nature of your job., A training budget, inter-team tourism, hackathons, and an internal learning platform where you will find multiple trainings., An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal., Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.