Oktatási Op Gondozás állás innen: Győr

2024. 04. 26. | Teljes munkaidõ | Győr | 7NOf our staff have been with us for many years. About project We are loking for a Head of IAM Operations for pharmaceuthical company. On this position you will be responsible for the IAM Ops. team overseeing the daily operations of the IAM systems and services, ensuring that they are running smoothly

2024. 04. 26. | Teljes munkaidõ | Győr | HCLTechOf entire SAP Solutioning, bid response by putting together and working with a solution team/SME’s. Leading the “New SAP” (S/4HANA- OP/Cloud/BTP/AI-ML) adoption initiatives in the context of “Digital Transformation” in the customers’ journey, clearly demonstrating the business value. Pre-sales solution

2024. 04. 26. | Teljes munkaidõ | Győr | ContinentalLanguageWillingness to work independently and as part of an international teamNice to have Experience in radar sensor domainExperience with databases Experience in SQL, AWS ML Ops

2024. 04. 26. | Teljes munkaidõ | Győr | RelativityIs heavily invested in developing new AI products and features for our customers. Our team spans across many teams and functions across Relativity Engineering, including our data engineering team, ML Ops team, applied science team, and product-focused feature teams for our RelOne AI suite of products. About

2024. 04. 22. | Teljes munkaidõ | Győr | Reply Polska Sp. z o. o.Winning Microsoft consultancy. We work with the biggest names across all industries from Dyson to Sky and the Co-op Group. Our mission is to empower people to achieve more

2024. 04. 14. | Teljes munkaidõ | Győr | AffirmIncluding the Engineering Manager and Product Manager, however it requires a close collaboration with US stakeholders and engineers. The Fraud Ops and Compliance Tools team’s mission is to empower operations and compliance orgs by building tools that help Identify, mitigate and report fraudulent

2024. 04. 18. | Teljes munkaidõ | Győr | OpsTalentCritical and currently unmet user needs We seek individuals who possess 5 years of experience with machine learning in production, including ML Ops knowledge of