Machine learning engineer w m d állások, munkák programozó, fejlesztő kategóriában

• Design and implement machine learning models for perception, prediction, and decision-making in autonomous driving systems
• Develop and maintain scalable data pipelines and infrastructure for training and evaluating ML models

Join our team and you'll be responsible for developing robust machine learning models and deploying them at scale, bridging the gap between data science and production-ready systems. Working in the AI Labs Team you will collaborate in an innovative environment where technical excellence is valued,...

• Implement and productionise ML-based services using Sagemaker
• Work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions.
• Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.

Design, develop, and deploy advanced ML models, with a focus on optimizing Large Language Models (LLMs) for diverse NLP and multimodal applications (text, image, structured data) and Visual Language Models (VLM)...

Mitwirkung bei den Forschungsvorhaben des Lehrgebiets Erstellung und Überarbeitung von Fernstudienmaterial und Einsendeaufgaben Durchführung von Fernstudienkursen und Präsenzveranstaltungen (Seminare/Praktika) Unterstützende Betreuung von Seminar-, Bachelor- und Masterarbeiten...

Key job responsibilities * Participate in the design and development of state-of-the-art SQL query processing engines * Define query rewrite rules and optimize query execution time in distributed databases. * Participate in code and design reviews to maintain our high development standards. *...

• Work closely with world leading experts in the field of Machine Learning and Video Editing
• Directly work in the core processing, render and ML code of our video and audio applications.
• Enhance your skills to remain at the forefront of the newest development, testing, and deployment techniques

• Develop a web-based application for process testing from scratch
• Collaborate with cross-functional teams to retrieve process definitions and test results
• Implement user-friendly interfaces and robust backend services
• Ensure seamless integration with existing learning products

• Further & new development of DNNs and (local) LLMs and their combinations for identifying process steps in web and desktop applications
• Further & new development of graphical algorithms with the same purpose
• Integrate those models and algorithms into our existing solutions

implement and maintain software applications and IoT systems on AWS using Python, SQL, and Linux, and continuously optimize application performance and identify areas for improvement....

• scientific research and Development of tools for efficient HPC system operation and monitoring
• research and Development of data-driven and AI-based optimizations for HPC operation
• collect and evaluate requirements for operation software

Develop a content-aware data compression method for Distributed Acoustic Sensing (DAS) data that dynamically adapts to the characteristics of the signal to maximize data reduction while preserving essential information required for downstream machine learning (ML) tasks....