Senior ML Engineer

About Us The Edge One Solutions community was born out of a love for new technologies. We have over 350 experts, and as part of the Euvic Group, we are already 5500 strong. An individual approach allows us to tailor projects to skills, enabling us to genuinely support each other in competency development. About the Client The client is an international technology company developing a modern platform for the digital advertising market, specializing in Connected TV (CTV), streaming, and programmatic advertising. They create solutions that help advertisers effectively plan, buy, and optimize advertising campaigns in the dynamically developing digital media ecosystem. About the Project This is a role for an experienced specialist with practical experience in designing or implementing bidding systems for DSP platforms or similar solutions in the programmatic advertising domain. This is not a research position – the emphasis is on designing and building production ML solutions that will directly impact the platform's functionality. On a daily basis, you will collaborate with a team of experienced Software Engineers, participate in architectural decisions, and design the integration of Machine Learning models with the bidding platform. You will be responsible for developing intelligent decision-making mechanisms, analyzing opportunities to replace rule-based logic with ML models, and supporting the implementation of scalable solutions operating in a production environment. Work Arrangement Remote work To facilitate your project realization: Very good experience in Machine Learning and Applied Data Science Experience in designing or implementing bidding systems for DSP platforms Practical knowledge of the AdTech industry and the programmatic advertising ecosystem Experience in building production Machine Learning systems Very good knowledge of predictive systems, optimization systems, and decisioning systems Ability to design solution architecture and participate in technical discussions Experience collaborating with Software Engineering teams Very good communication skills Nice to have: Strong Software Engineering fundamentals Experience with MLOps Practice in designing distributed or large-scale ML systems Experience with Real-Time Bidding (RTB) platforms Collaboration with backend teams on ML model implementation Experience with cloud-based Machine Learning platforms Knowledge of DSP platform architecture Experience with programmatic advertising platforms Leading architectural or technical initiatives Mentoring engineers and Data Scientists Your Contribution to the Project: Designing and developing Machine Learning solutions used in the programmatic advertising platform Creating and developing predictive models, optimization models, and decision-making systems Designing the architecture of production ML systems and participating in architectural decisions Developing and optimizing bidding systems (DSP) supporting advertising in the Connected TV and streaming environment Collaborating with Software Engineering teams on deploying models to production environments Building scalable and efficient real-time solutions Ensuring high code quality and best practices in ML Engineering and MLOps This is how we will take care of you: By joining Edge One Solutions, you receive full support in professional and personal development, giving you a real chance to build a career according to your own goals. You gain individual support from a Service Delivery Manager who will help you plan your career path and ensure your comfort and satisfaction with your work on the project. Training, certifications, and conferences – we subsidize or fully cover the costs of technical competency development. #SmartChange – we enable project changes and select the next one according to your preferences. We care about your work-life balance, which is why, in addition to work, we offer integration outings, sports activities, and inspiring #edge1talks webinars that develop and connect people. Physical activity – we support sports initiatives and the rental of training rooms. Health package – private healthcare, sports card, insurance, and a platform with psychological support. Flexible benefits – you decide how to allocate points in our benefits system. Do you not meet all the requirements, but the project interests you? Don't hesitate and apply. Let's talk!