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ICONMA, LLC

Embedded AI/ML Engineer Android Automotive (AOSP)

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What they do

A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.

$116,818 / year median in Michigan

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Job Description

Embedded AI/ML Engineer - Android Automotive (AOSP)#26-33960 Up to $46.43 per hour Warren, MI Onsite Job Description Our client, a IT Services and Consulting company, is looking for a Embedded AI/ML Engineer - Android Automotive (AOSP) for their Warren, MI location.
Responsibilities:
This project will investigate methods for efficiently using AI and Machine Learning architecture on embedded computing platforms, optimizing their performance within the constraints of these resource-limited systems. Gather feedback for future refinements and potential enhancements
Requirements:
Years of Experience:
7.00 Years of Experience MS or PHD in Computer Science, Computer Engineering, Software Engineering, or similar. Expertise with Android Automotive OS, AOSP, Google Automotive Services SDSK, Kotlin, Java and basic C++ Expertise in Machine Learning ML / Large Models LLM Expertise with Embedded Systems Architecture and Design