Oferty dla Python praca Podkarpackie Województwo

15.04.2026 | Pełny etat | Rzeszów | cloudatusOf machine learning methods (e.G. linear regression, random forest, K‑nearest neighbors, neural networks, gradient boosting, clustering methods, reinforcement learning, decision/regression trees), including feature engineering and hyperparameter tuning Building models using Python and/or R and standard data

15.04.2026 | Pełny etat | Rzeszów | cloudatusProcesses Support the setup, management and scaling of cloud infrastructures using Infrastructure as Code (IaC) Develop software solutions using JavaPython and/or C# Use and optimise VibeCoding toolse.G. GitHub Copilot Collaborate with cross‑functional teams in an agile environment Your Profile

15.04.2026 | Pełny etat | Rzeszów | cloudatusOf machine learning methods (e.G. linear regression, random forest, K‑nearest neighbors, neural networks, gradient boosting, clustering methods, reinforcement learning, decision/regression trees), including feature engineering and hyperparameter tuning Building models using Python and/or R and standard data

15.04.2026 | Pełny etat | Rzeszów | cloudatusOf machine learning methods (e.G. linear regression, random forest, K‑nearest neighbors, neural networks, gradient boosting, clustering methods, reinforcement learning, decision/regression trees), including feature engineering and hyperparameter tuning Building models using Python and/or R and standard data

15.04.2026 | Pełny etat | Rzeszów | cloudatusLearning, decision/regression trees), including feature engineering and hyperparameter tuning Building models using Python and/or R and standard data‑science libraries Using cloud platforms (e.G. Azure ML, AWS SageMaker) and contributing to automated ML pipelines and MLOps practices Collaboration

14.04.2026 | Pełny etat | Rzeszów | cloudatusOf machine learning methods (e.g. linear regression, random forest, K‑nearest neighbors, neural networks, gradient boosting, clustering methods, reinforcement learning, decision/regression trees), including feature engineering and hyperparameter tuning Building models using Python and/or R and standard data