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Senior ML/AI Engineer
Senior ML/AI EngineerSource One Technical Solutions • Ann Arbor, MI, United States
Senior ML / AI Engineer

Senior ML / AI Engineer

Source One Technical Solutions • Ann Arbor, MI, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

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.

  • 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.)
  • 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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