Data engineer állások, munkák főiskolai végzettséggel

• Your role will be to develop and establish the scientific foundations for a machine learning-based multiphysics framework, using surrogate models trained on validated EHL simulations.
• You will also create a novel, computationally efficient, data-driven design protocol for lubricated components.

Doctoral Candidate in computer vision and machine learning for developing novel deep learning methods for plant and animal species identification from camera-trap and crowd-sourced imagery The EcoVision Lab in the Department of Mathematical Modeling and Machine Learning (DM3L) at University of...

Development, structuring, and documentation of (Gen)AI use cases with relevance for organization-wide business processes with Data Scientists and Product Owners...

During the program, you will coordinate the locations of our International Production Network (IPN) for power electronics in China, Hungary, Romania and other countries....

Design, development, training, validation, and continuous optimisation of ML models for production-grade automotive use cases, covering the full lifecycle from initial prototype to long-term operation....

angol nyelvű e-mailes kapcsolattartás a cégcsoporttal az érkező megrendelésekről a megrendelések napi gyártásba tervezése gépenként, specifikáció alapján gyártási listák összesítése, nyomtatása...

• Researching trends and innovative methods for transformation, AI and global learning & development
• Supporting the identification and documentation of concrete AI use cases, agents, and adoption opportunities in learning, leadership, and HR contexts

• Lead execution of regulatory deliverables, exams and overall engagement, with a focus on credit risk, market risk and operational risk
• Present to and interact with regulators as part of the ongoing supervision process, regulatory examinations and other deliverables

Senior Director – Delivery / Client Partner CRM & Tech BU, Enterprise Data, AI and Engagement Platforms – Healthcare & Life Sciences (Europe) Location: Binningen/ Basel, Switzerland / EU Business Unit: Data, Analytics, AI, Technology & CRM Reports to: AVP / Global Practice Head (CRM & Tech BU)...

• Az ügyfél üzleti működésének mélyreható megismerése és megértése
• Az ügyfél támogatása az üzleti problémák beazonosításában és pontos megfogalmazásában
• Alternatív megoldási irányok és koncepciók kidolgozása, amelyek illeszkednek a bevált szakmai gyakorlatokhoz és a cég portfóliójához

Quality Engineer About us FKG Dentaire Sàrl – a Henry Schein company - is at the forefront in the development, manufacturing and distribution of high precision dental products for dentists, endodontists and laboratories. Our mission is to strive to innovate new ways of working: more respectful,...

Support students with regular queries concerning the requirements, structure, schedule, and enrolment procedure of curricular activities (courses, master's thesis, internships, skills workshops). Support is to be provided in person, via email, and via videocall ....

Analyze product sensory and related consumer data utilizing advanced statistic tools to report CAT (consumer affective tests) and QDA (quantitative descriptive analysis) projects. Create product intelligence related to consumer needs beyond regular sensory, gathering and analyzing consumer-centric...

- Collaborate with the research team on various AI/ML projects, contributing to the development and implementation of innovative solutions. - Design, train, and optimize AI models using frameworks such as PyTorch and TensorFlow. - Collect, preprocess, and analyze data required for training AI...

Data Architect Space C5I Every day, around 3,000 employees of RUAG and RUAG Real Estate make as significant contribution to the security of Switzerland. They ensure that the Swiss Armed Forces and other emergency and security organizations can comprehensibly carry out their tasks at all times. Data...

• Drive the evolution of retail credit risk frameworks: You will take
• methodological ownership

• Model Research: Conduct research on possible AI models for our use case
• Data Preparation: Assist in curating and preparing datasets of from our database of known errors
• Model Training: Training and fine-tuning the AI agent, ensuring it learns how to accurately detect errors and suggest fixes