Senior AI Engineer for Embedded Devices (f/m/d)
Marco R. Fuhrer Unternehmensberatung · Heerbrugg, St. Gallen, Switzerland
Skills in this posting
The posting
Aufgaben Take responsibility for feature development projects end-to-end from inception to ML development to deployment and integration into products Design, develop and train machine learning models tailored to our hardware using state-of-the-art techniques Implement advanced low-level model inference optimizations to fully leverage on-device accelerators Work in an agile environment, collaborating with product teams and machine learning professionals all over the world
Anforderungen A university degree (M.Sc. or D.) in computer science or artificial intelligence or a similar field At least 5 years of experience with machine and deep learning techniques and preferably 5+ years of experience developing software for embedded devices Proven experience in training, evaluation, and deployment of neural networks, covering all stages from data ingestion to model deployment Good knowledge of ML exchange formats, runtimes, compilers and knowledge of adapting models for and deploying to embedded platforms Solid background in developing with C-based languages and Python Experience in obtaining and formalizing customer requirements and defining use cases Fluent English
Sprachen Fluent English
The PivotHop read
- What an ai engineer actually earnsmedian, seniority, by country
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- Machine Learning Engineer → AI Engineer61% readiness
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Where these skills also reach
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