01.07.2025 | Pełny etat | Ząbki | LeoVegas GroupSuch as Spring and JPA ● Experience with Kotlin ● Demonstrated ability to build services from scratch. ● You’re no stranger to working with relational databases such as MySQL ● You have experience in building scalable and fault-tolerant systems and are familiar with microservice architectures NICE TO HAVES
Zobacz później01.07.2025 | Pełny etat | Ząbki | SunscrapersWith partnerships averaging five years or more. The Project In the project, you’ll contribute to building a new holistic data platform for a US-based healthcare company. Leveraging AWS services, Airflow, and dbt, you’ll develop robust data pipelines and scalable architectures that enable comprehensive insight
Zobacz później28.06.2025 | Pełny etat | Ząbki | SynergeticaCoding, debugging, and troubleshooting, to deliver high-quality applications Design, architecture, development digital applications, ensuring adherence to best practices, coding standards, and architectural principles Implement test automation strategies and frameworks to automate testing processes
Zobacz później28.06.2025 | Pełny etat | Ząbki | DSV GBS DSV Global Business ServicesWill collaborate with Service Owners, Application Owners, Project Managers, Business Analysts, and Architects to drive the full application lifecycle - from vendor selection and solution implementation to ongoing support and continuous improvement. Technical Expertise Certified ServiceNow System Administrator
Zobacz później19.06.2025 | Pełny etat | Ząbki | ReSpo.VisionEngineer at gning, training, testing, and validating machine learning models for classification, Performing data quality analysis, feature engineering, and experimentation ● Developing robust MLOps pipelines for training, testing, and monitoring ● Participating in ML system architecture planning
Zobacz później19.06.2025 | Pełny etat | Ząbki | ReSpo.VisionEngineer at gning, training, testing, and validating machine learning models for classification, Performing data quality analysis, feature engineering, and experimentation ● Developing robust MLOps pipelines for training, testing, and monitoring ● Participating in ML system architecture planning
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