04.11.2026 | Pełny etat | Koszalin | CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄWhy Join Us At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully
Zobacz później04.11.2026 | Pełny etat | Koszalin | CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄWhy Join Us At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully
Zobacz później04.11.2026 | Pełny etat | Koszalin | CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄWhy Join Us At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully
Zobacz później03.11.2026 | Pełny etat | Koszalin | FlixInfrastructure running on AWS and Kubernetes Support the further development of Infrastructure as Code using tools such as Terraform Automate operational processes and infrastructure workflows using scripting or programming languages such as Bash, Python, or Go Support CI/CD processes and help engineering teams
Zobacz później03.11.2026 | Pełny etat | Koszalin | CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄWhy Join Us At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully
Zobacz później03.11.2026 | Pełny etat | Koszalin | VectenDon't read confusion matrices. Your Responsibilities Build and improve LLM- and transformer-based pipelines that extract structured data from clinical notes named entity recognition, text classification, relation extraction Evaluate models rigorously gold-standard datasets, error analysis, metrics
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