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• Join a multidisciplinary team working on the forefront of generative AI applied to the engineering domain.
• Furthermore, you will develop a deep understanding of machine learning models applied to 3D geometries such as CAD files and simulations.

• You design end-to-end AI and data architectures, from data ingestion to model serving that uses and extends platforms within our vehicles (with a strong focus on edge).
• Furthermore, you leverage open-source AI frameworks and proprietary frameworks.

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...

PROGRAM FOR BUSINESS-ORIENTED DATA SCIENTISTS START AT KWS - GROWING WITH DATA TOGETHER WE ADDRESS THE GROWING GLOBAL FOOD DEMAND. The Growing with Data Program is an entry door for ambitious data scientists who are interested in technology, business, and leadership and have a strong vision on how...

• Provide both strategic and tactical direction and leadership excellence for all finance and controlling processes as well as reporting within our SAP template
• Lead workshops to design future finance and controlling processes and educate the users

• Independent risk reviews within the bid phase
• Execution of risk assessments as part of the hand over process
• Operative risk management and risk assessment
• Ensuring that risk mitigation activities are executed and followed
• Quality Assurance reviews on selected processes
• Financial monitoring of projects

• Conceptualization, development, and practical validation of innovative automated and AI-supported solutions to enhance documentation and analysis workflows
• Analysis of technical and regulatory requirements and translation into robust, technically feasible concepts

• Lead the development of our automotive product Cybersecurity Management System aligned with global regulations and industry standards.
• Define and maintain cybersecurity engineering processes aligned with ISO/SAE 21434 across the V-model lifecycle.