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Senior ML/AI Engineer

Source One Technical Solutions
Full-time
On-site
Source One is a consulting services company and we’re currently looking for the following individual to work as a consultant to our client, an autonomous vehicle company in Ann Arbor, MI.

Are you the right applicant for this opportunity Find out by reading through the role overview below.

** We are unable to work with third party companies or offer visa sponsorship for this role.

Title: Senior ML/AI Engineer (contract) Pay Range: $90/hr - $120/hr (W-2)

Job description: Seeking an experienced Senior ML/AI Engineer to work in a hands-on, fast-paced environment with software closely connected to operating systems, computer hardware, sensors, and vehicles.

As a Senior ML/AI Engineer, you'll: ● Design, develop, improve, and maintain reusable software components, frameworks, and tools primarily written in Python, while leading the development of ML features ● Leads development of ML features while working closely with counterparts ● Apply your expertise in supervised and unsupervised learning methodologies ● Be ready to dive-in and learn across the technology stack and leverage experience to develop solutions with sound design principles, extensibility, and quality in mind

Required skills: ● At least a Bachelor's degree in engineering, computer science, or related ● 5+ years of professional software development experience ● Experience with supervised+unsupervised learning methods ● Experience deploying ML solutions to hardware platforms ● Time signal processing experience as well as computer vision experience ● Experience writing scalable, reusable code in Python or similar ● Experience writing Github Actions or similar (Jenkins, etc.) xsgimln

● Generalist attitude and willingness to learn continuously ● Experience with writing unit tests, doing cross-validation, and robustness testing/evaluation of models ● Ability to operate effectively and autonomously across multiple teams, and navigate technical ambiguity with only high-level direction

Nice to haves: ● Master's or beyond related to AI/ML ● Experience with automotive software, ideally for ADAS ● Experience with C/C++ ● Experience with developing cloud Infrastructure (AWS, GCP, Azure, etc.)
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