Learning specialist Jobs in Weinböhla
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Learning specialist • weinbohla
Machine Learning Engineer
IC ResourcesDresden,Sachsen,GermanyPraktikant / HiWi : Machine Learning in Gebäudesystemen
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RenesasDresden, Saxony, Germany- Gesponsert
Senior Staff Engineer Analog Mixed Signal AI / Machine Learning (f / m / d)
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RandstadRadebeul, Sachsen- Gesponsert
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AccentureDresden- Gesponsert
Senior Staff Engineer Analog Mixed Signal AI / Machine Learning (f / m / d)
Infineon Technologies AG - JobsDresden, Sachsen, GermanyEcommerce Implementation Specialist
BaselinkerDresden, GermanyOrder Management Specialist
Applied MaterialsDresden,DEUKreativ-Kampagnenmeister in Barcelona : Junior Campaign Specialist ️
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Landeshauptstadt DresdenDresden(Senior) Machine Learning / AI Engineer (all genders)
adesso SEMaternistraße 17, Dresden, DEU- Gesponsert
German Junior Campaign Specialist – Google Ads
KAMDresden, SaxonyGerman SEO Specialist
WelocalizeDresden, GermanyPraktikum im Bereich Learning & Development (f / m / d)
MHP - A Porsche CompanyDresden, Germany- Gesponsert
Senior Product Enablement Specialist fmd
SAP LeanixDresden, Saxony, GermanyMachine Learning Engineer
IC ResourcesDresden,Sachsen,Germany- Vollzeit
Machine Learning Engineer
Dresden, Germany (on-site)
Please note this is a 48 hour / 6 day working week
IC Resources is seeking a Machine Learning Engineer with expertise in model quantization for hardware AI chips, to join our client's innovative team in Dresden, Germany. This role offers a unique opportunity to work at the intersection of machine learning and hardware design, shaping the future of AI hardware for edge devices. The successful candidate will play a crucial role in developing a scalable inference framework and collaborating on cutting-edge quantization techniques.
Primary Responsibilities
- Design and maintain a highly optimised inference framework tailored to cutting-edge AI hardware.
- Refine and implement advanced quantization algorithms.
- Innovate on state-of-the-art quantization methods and adapting these techniques to meet unique hardware requirements.
Essential Experience
Desired Experience
What’s On Offer
Excellent salaries DOE
48 hour / 6 day working week
How to Apply :
If you’re excited by the opportunity to advance your career as a Machine Learning Engineer focused on quantization, and contribute to ground-breaking technology, apply now for immediate consideration. Contact Chris Wyatt, Principal Recruitment Consultant, for more information and assistance with your application.