2024. 04. 26. | Teljes munkaidõ | Budapest | ParexelNLP) EngineeringLeverage proprietary NLP technology stack to build custom machine learning aborate with other engineers to design, implement, and document new NLP modeling techniques and rstand customer model and use case requirements to train and deploy custom NLP
Nézze később2024. 04. 26. | Teljes munkaidõ | Budapest | KalepaKalepa is looking for Machine Learning Engineers with 2+ years of experience to frame, develop and deploy at scale of machine learning models to understand the risk of various classes of businesses. We are a fully remote startup building software to transform and disrupt commercial insurance. Our
Nézze később2024. 04. 26. | Teljes munkaidõ | Budapest | PearsonIn our work, we often innovate around implementing psychometric ideas using the latest machine learning methods and prototyping innovative natural language processing methods. We proudly support the Polish AI community by sponsoring conferences (ML in PL, Why R?, GHOST Day, Cloud & Datacentre Day
Nézze később2024. 04. 26. | Teljes munkaidõ | Budapest | SigmoidalProficiency, preferably at a C1 level At least 5+ years of experience in machine learning A passion for pursuing solid best practices in Data Science Join our unstoppable team, and together
Nézze később2024. 04. 26. | Teljes munkaidõ | Budapest | Sigma SoftwareAnd machine learning algorithms to uncover hidden patterns, trends, and anomalies within the data. These insights will inform the development of effective models and solutions - Select and apply appropriate machine learning or statistical models to address specific business problems. This involves
Nézze később2024. 04. 26. | Teljes munkaidõ | Budapest | Bosch► Testing and optimization of data pipeline ensuring required quality and scalability► Analysis and development of goal-specific applicability of machine learning, deep learning and data science methodsQualifications► Minimum 1-2 years experience in an developer role related to machine learning, data
Nézze később2024. 04. 26. | Teljes munkaidõ | Budapest | Schenker Technology CenterProcesses, for example, with the help of a map-based visualization of our fleet. We are also integrating machine learning tools developed by one of our partner departments. All projects are developed inhouse using modern technologies like Kotlin and Kafka and were started from scratch in the last year
Nézze később2024. 04. 25. | Teljes munkaidõ | Budapest | International Flavors & FragrancesStakeholders• Drive digital mindset within the organization• Develop expertise on key digital themes in the Manufacturing and supply chain areas, such as Real-Time Process Optimization, development of digital apps, machine learning, AI• Lead diagnostics and perform Kaizens• Manage project portfolio
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