

Source One Technical Solutions
Senior Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer with a contract length of "unknown" and a pay rate of up to "$120/hr" onsite in Ann Arbor, MI. Requires a Bachelor's degree, 5+ years in software development, and expertise in Python, supervised/unsupervised learning, and deploying ML solutions.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
960
-
ποΈ - Date
October 14, 2025
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Ann Arbor, MI
-
π§ - Skills detailed
#Azure #C++ #Cloud #Supervised Learning #GitHub #AWS (Amazon Web Services) #Python #GCP (Google Cloud Platform) #Unsupervised Learning #AI (Artificial Intelligence) #Scala #Signal Processing #Computer Science #Agile #ML (Machine Learning) #Jenkins
Role description
Pay: up to $120/hr on w2 (No C2C or 3rd parties)
Location: Onsite in Ann Arbor, MI
We are helping our client find 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.
In this role you will design, develop, improve, and maintain reusable software components, frameworks, and tools primarily written in Python, while leading the development of ML features.
We're looking for someone with a Bachelorβs degree in Engineering, Computer Science, or a related field, and 5+ years of professional software development experience.
As a Senior ML/AI Engineer, you'll:
β’ Design, develop, improve, and maintain reusable software components, frameworks, and tools primarily written in Python.
β’ Lead the development of ML features for the team while working closely with counterparts.
β’ Demonstrate a growth mindset across technology stacks and leverage experience to develop solutions with sound design principles, extensibility, and quality in mind.
β’ Apply your expertise in supervised and unsupervised learning methodologies.
Ideal candidate profile
Nice to haves
β’ Masters or beyond related to AI/ML
β’ Experience with automotive software, ideally for ADAS.
β’ Experience with C/C++.
β’ Experience with developing cloud Infrastructure (AWS, GCP, Azure, etc.).
β’ Experience deploying AI/ML solutions in automotive.
Daily tasks:
β’ Good knowledge of supervised and unsupervised learning methodologies.
β’ Experience deploying ML solutions to hardware platforms.
β’ Designs, develops, improves, and maintains reusable software components, frameworks, and tools primarily written in Python.
β’ Leads development of ML features for team while working closely with counterparts.
β’ Be excited about working hands-on in a fast-paced environment on software closely connected to operating systems, computer hardware, sensors, and vehicles.
β’ 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
β’ At least a Bachelorβs degree in engineering, computer science, or related
β’ Experience with supervised and unsupervised learning methods.
β’ Experience incorporating models as part of complex build pipelines and deploying models to hardware.
β’ Time signal processing experience as well as computer vision experience.
β’ 5+ years of professional software development experience.
β’ Experience writing scalable, reusable code in Python or similar.
β’ Experience writing GitHub Actions or similar (Jenkins, etc.).
β’ Generalist attitude and willingness to learn continuously.
β’ Experience with writing unit tests, doing cross-validation, and robustness testing/evaluation of models.
β’ Ability to operate effectively and autonomously across multiple teams and navigate technical ambiguity with only high-level direction.
Business driver of role:
This manager is forming a new agile team for an AI accelerator project.
Pay: up to $120/hr on w2 (No C2C or 3rd parties)
Location: Onsite in Ann Arbor, MI
We are helping our client find 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.
In this role you will design, develop, improve, and maintain reusable software components, frameworks, and tools primarily written in Python, while leading the development of ML features.
We're looking for someone with a Bachelorβs degree in Engineering, Computer Science, or a related field, and 5+ years of professional software development experience.
As a Senior ML/AI Engineer, you'll:
β’ Design, develop, improve, and maintain reusable software components, frameworks, and tools primarily written in Python.
β’ Lead the development of ML features for the team while working closely with counterparts.
β’ Demonstrate a growth mindset across technology stacks and leverage experience to develop solutions with sound design principles, extensibility, and quality in mind.
β’ Apply your expertise in supervised and unsupervised learning methodologies.
Ideal candidate profile
Nice to haves
β’ Masters or beyond related to AI/ML
β’ Experience with automotive software, ideally for ADAS.
β’ Experience with C/C++.
β’ Experience with developing cloud Infrastructure (AWS, GCP, Azure, etc.).
β’ Experience deploying AI/ML solutions in automotive.
Daily tasks:
β’ Good knowledge of supervised and unsupervised learning methodologies.
β’ Experience deploying ML solutions to hardware platforms.
β’ Designs, develops, improves, and maintains reusable software components, frameworks, and tools primarily written in Python.
β’ Leads development of ML features for team while working closely with counterparts.
β’ Be excited about working hands-on in a fast-paced environment on software closely connected to operating systems, computer hardware, sensors, and vehicles.
β’ 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
β’ At least a Bachelorβs degree in engineering, computer science, or related
β’ Experience with supervised and unsupervised learning methods.
β’ Experience incorporating models as part of complex build pipelines and deploying models to hardware.
β’ Time signal processing experience as well as computer vision experience.
β’ 5+ years of professional software development experience.
β’ Experience writing scalable, reusable code in Python or similar.
β’ Experience writing GitHub Actions or similar (Jenkins, etc.).
β’ Generalist attitude and willingness to learn continuously.
β’ Experience with writing unit tests, doing cross-validation, and robustness testing/evaluation of models.
β’ Ability to operate effectively and autonomously across multiple teams and navigate technical ambiguity with only high-level direction.
Business driver of role:
This manager is forming a new agile team for an AI accelerator project.