2024. 04. 24. | Teljes munkaidõ | Borsod-Abaúj-Zemplén | Avis Budget Group BSC Kft.Focus on the Finance and Accounting operational res that the team has the right number of resources with the right knowledge to be able to meet service expectations, resolves pro-actively any gaps in resourcing across the financial ews and ensures that follow up actions occur
Nézze később2024. 04. 24. | Teljes munkaidõ | Miskolc | PolcodeYes, please!) Work with ambitious, amazing teams across organizational boundaries (business, DevOps, QA, PM) - they can really learn from everyone here! Work in line with the highest coding standards, release quality code backed by proven testing techniques Drive processes that improve software
Nézze később2024. 04. 21. | Teljes munkaidõ | Miskolc | InuitsActionable advice to improve decision-making and boost the bottom line. About the project As a Data Scientist, you'll team up with our Engineering, Product, and Implementation groups to craft cutting-edge machine learning solutions for our business-to-business (B2B) software as a service (SaaS) applications
Nézze később2024. 04. 19. | Teljes munkaidõ | Miskolc | RailswareRDBMS, Key Value - Tuple Store, Wide Column Store - Column Families, Document Store) Experience with cloud hosting providers (e.g. AWS, Google Cloud, Digital Ocean, Heroku) Comfortable with the UNIX/Linux command line Experience in test-driven development and pair programming (good to have) Comfortable
Nézze később2024. 04. 19. | Teljes munkaidõ | Miskolc | 7N7N is an agent for high-end IT professionals. For over 30 years of operation we have proven that a clear and transparent financial modelcollaboration exclusively with experts in their respective fields, and taking good care of them, comprise the best possible IT consulting model. We act
Nézze később2024. 04. 15. | Teljes munkaidõ | Miskolc | Surveily Sp. z o.o.Research and software engineering to deliver impactful solutions. What we need to see BS or MS degree plus 4 years of commercial experience in Computer Science, Artificial Intelligence, Applied Math, or related field. Machine learning fundamentals (linear algebra, probability theory, optimization
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