Oferty dla Analytical Systems praca Polska

13.08.2026 | Pełny etat | Wysokie Mazowieckie | C&FOf basic types of solutions using GenAI models (RAGs, agentic workflows, etc.) Collaborate with other roles (managers, testers, DevOps, etc.) through the whole life cycle of a project, Develop and maintain APIs and microservices for AI integration with other systems, Conduct experiments and evaluations

13.08.2026 | Pełny etat | Wysokie Mazowieckie | C&FOf basic types of solutions using GenAI models (RAGs, agentic workflows, etc.) Collaborate with other roles (managers, testers, DevOps, etc.) through the whole life cycle of a project, Develop and maintain APIs and microservices for AI integration with other systems, Conduct experiments and evaluations

13.08.2026 | Pełny etat | Wysokie Mazowieckie | C&FOf basic types of solutions using GenAI models (RAGs, agentic workflows, etc.) Collaborate with other roles (managers, testers, DevOps, etc.) through the whole life cycle of a project, Develop and maintain APIs and microservices for AI integration with other systems, Conduct experiments and evaluations

13.08.2026 | Pełny etat | Wysokie Mazowieckie | C&FIn the applications, Knowledge of basic types of solutions using GenAI models (RAGs, agentic workflows, etc.) Collaborate with other roles (managers, testers, DevOps, etc.) through the whole life cycle of a project, Develop and maintain APIs and microservices for AI integration with other systems, Conduct experiments

11.08.2026 | Pełny etat | Kraków | EPAM SystemsData ecosystem (data, platform, analytics teams) Support testing and monitor search performance, accuracy, and usability Prepare analytical reports on data availability and search effectiveness Requirements 3 years - of experience as a Data Engineer, including exposure to large-scale or Big Data

11.08.2026 | Pełny etat | Warszawa | EPAM SystemsStrategiesBuild and optimize machine learning models to improve workflows and business outcomesDesign and maintain analytics frameworks that enable informed decision-makingEnsure data science systems are scalable, reliable, and adaptable across environmentsMentor and provide technical guidance to data science