Oferty dla Technical Support Engineer praca Polska

07.01.2026 | Pełny etat, Pół etatu | Wysokie Mazowieckie | AI REV Research, Inc.Of handling sensitive data at scale. Drive Technical Strategy You will have complete ownership of the technical roadmap for your projects. You will make high-stakes decisions regarding infrastructure (K8s, Cloud), architectural patterns, and the integration of emerging LLM capabilities. Elevate Engineering

07.01.2026 | Freelancer, Pół etatu | Katowice | NetguruSuch as precision, recall, F1-score, bias, fairness, and explainability. Conduct robustness testing and validate data quality used for training models. Work with tools supporting AI/ML model testing (e.G. MLflow, TensorBoard, Great Expectations, Evidently AI). Cooperate with data scientists and engineers to define

07.01.2026 | Pół etatu | Wysokie Mazowieckie | MiquidoWith developers, data engineers, PMs and designers evaluate AI feasibility, risks and ROI for client use cases ensure AI solutions are production-ready, maintainable and measurable actively participate in architectural discussions and technical decision-making continuously improve existing AI solutions

07.01.2026 | Pół etatu, Freelancer | Wysokie Mazowieckie | NetguruSuch as precision, recall, F1-score, bias, fairness, and explainability. Conduct robustness testing and validate data quality used for training models. Work with tools supporting AI/ML model testing (e.G. MLflow, TensorBoard, Great Expectations, Evidently AI). Cooperate with data scientists and engineers to define

07.01.2026 | Pół etatu | Wrocław | MiquidoWith developers, data engineers, PMs and designers evaluate AI feasibility, risks and ROI for client use cases ensure AI solutions are production-ready, maintainable and measurable actively participate in architectural discussions and technical decision-making continuously improve existing AI solutions

07.01.2026 | Freelancer, Pół etatu | Poznań | NetguruSuch as precision, recall, F1-score, bias, fairness, and explainability. Conduct robustness testing and validate data quality used for training models. Work with tools supporting AI/ML model testing (e.G. MLflow, TensorBoard, Great Expectations, Evidently AI). Cooperate with data scientists and engineers to define