Machine learning scientist Jobs in Tharandt
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Machine learning scientist • tharandt
Machine Learning Engineer
IC ResourcesDresden, Sachsen, GermanySENIOR DATA SCIENTIST
Fincon ReplyDresdenCorporate German Trainer
goFLUENTDresden, DESenior Angular Entwickler (m / w / d)
interface projects GmbHDresden, Saxony, GermanyPrincipal Electron-Optics Research Scientist (E)
KLADresden, Germany- Gesponsert
Data Scientist Backend wmdiv
Bosch GroupDresden, Saxony, GermanySenior KI Entwickler (m / w / d) (100% Remote möglich)
Kontext E GmbH von ITsax.deDresden, Sachsen, DEMachine Learning Engineer / Data Scientist - Google Cloud (all genders)
adesso SEMaternistraße 17, Dresden, DEUPraktikant / HiWi : Machine Learning in Gebäudesystemen
Fraunhofer-Institut für Integrierte Schaltungen IISDresden, Sachsen, Deutschland- Neu!
Chief Data Scientist
National Instruments Dresden GmbH von ITsax.deDresden, Sachsen, DEe-Learning Manager (m / w / d)
Hofmann PersonalRadebeulMachine Learning EngineerSoftwareentwickler / in
Landeshauptstadt DresdenDresdenML Quantization Engineer - Dresden
microTECH Global LtdDresden, GermanySoftwareentwickler : in mit bis zu 95% remote Option! Software Developer für KI-Webanwendungen - Angular, Spring Boot, AI Development
sifamo GmbHDresden, Saxony, Germany- Gesponsert
- Neu!
Chief Data Scientist
EmersonDresden, Saxony, GermanyGenAI & Machine Learning Architect (all genders)
AccentureDresdenMiddle / Senior ML Engineer
Top Remote TalentDresden, Saxony, .DE- Gesponsert
(Junior) Analyst (m / w / d) Data Analytics
SyncworkDresden, DEData Scientist (m / w / d)
SVADresdenMachine Learning Engineer
IC ResourcesDresden, Sachsen, GermanyMachine 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.