Junior Machine Learning Engineer (Data Platform)

Your responsibilities, MLOps Ecosystem: Developing modern MLOps ecosystem, automating, and maintaining pipelines for ML model training and serving focusing on high-performance, AI Enablement: Building Allegro AI ecosystem, including AI Gov inventory, AI-Gateway agentic workflows, runtime, model Guardrails, and evaluation frameworks., Supporting internal partners and product teams to build and maintain robust ML/AI-based microservices. 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.