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Freelance Computer Vision Deep Learning Engineer Jobs in Michigan

Eccalon LLC

AI Expert Robotics - onsite

Detroit, MI

Collaborate with mechanical, electrical, and software engineering teams to ensure end-to-end system ... Experience with computer vision, deep learning, or reinforcement learning * Familiarity with ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI · On-site

Required Qualifications * BS. in Computer Science, or related field. * 3+ years of professional ... Mastery of Deep Learning fundamentals and statistics underlying Machine Learning. * History of ...

Kla

Algorithm Engineer

Ann Arbor, MI

$105K - $180K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Machine Learning, Deep Learning, and Computer Vision techniques. In this role, you will:

KLA Corporation

Algorithm Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Machine Learning, Deep Learning, and Computer Vision techniques. In this role, you will:

Magna

R&D- Computer Vision Engineering Intern

Troy, MI

$16 - $20.50/hr

Familiarity with Deep Learning (TensorFlow or PyTorch) required Familiarity with cloud platforms ... Experience in computer vision tasks like image classification, object detection, or semantic ...

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Infographic showing various Freelance Computer Vision Deep Learning Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 17% Part Time, 2% Temporary, 6% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Machine Learning Engineer (Computer Vision & AI)

faurecia S.A.

Auburn Hills, MI • On-site

$100 - $130/hr

Other

Posted 4 days ago

Job description

Forvia, a sustainable mobility technology leaderRole Summary

As a Senior Machine Learning Engineer, you will play a key role in developing and deploying advanced AI solutions that drive innovation across our automotive products and manufacturing processes. This role is focused on applied machine learning, with an emphasis on computer vision, predictive analytics, and scalable model deployment. You will partner with cross‑functional teams across engineering, manufacturing, and R&D to design, build, and productionize machine learning models that deliver measurable business impact. This is a hands‑on role requiring strong technical depth, ownership of model lifecycle, and the ability to operate effectively in a fast‑paced, evolving environment.

Key Responsibilities
  • Design, develop and deploy machine learning models with a focus on computer vision, predictive maintenance and anomaly detection
  • Build and maintain end‑to‑end ML pipelines, including data preprocessing, model training, evaluation and deployment
  • Collaborate with engineering, manufacturing and business stakeholders to translate real‑world problems into scalable AI solutions
  • Optimize model performance and scalability using GPU acceleration and parallel computing frameworks
  • Leverage Python and deep learning frameworks (PyTorch, TensorFlow) to implement production‑ready solutions
  • Partner with data and software engineering teams to integrate models into production systems and workflows
  • Contribute to AI innovation initiatives, including exploration of generative AI use cases in design and engineering contexts
  • Ensure best practices in model reproducibility, documentation and performance monitoring
  • Stay current with advancements in machine learning and apply relevant techniques to improve existing capabilities
Your Profile & Competencies
  • Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
  • 5+ years (preferably 7+) of hands‑on experience in machine learning or applied AI roles
  • Strong expertise in machine learning and deep learning, with practical experience in computer vision applications
  • Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow
  • Experience building and deploying models in production environments
  • Familiarity with GPU acceleration (CUDA or similar frameworks) and performance optimization techniques
  • Experience with ML pipelines, model lifecycle management and scalable system design
  • Ability to work effectively in matrixed, cross‑functional environments
  • Strong problem‑solving and analytical skills, with the ability to translate complex data into actionable insights
  • Effective communicator, able to explain technical concepts to non‑technical stakeholders
  • Experience in automotive, manufacturing or industrial environments is a strong plus
  • Familiarity with cloud platforms (e.g., Azure) and Agile development practices is preferred
What we can do for you
  • We provide an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.
  • Our company is the seventh‑largest global automotive supplier, offering ample opportunities for career development.
  • We welcome energetic and agile people who can thrive in a fast‑changing environment and share our strong values.
  • We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in‑person training within FORVIA University.
  • We offer a multicultural environment that values diversity and international collaboration and have adopted gender diversity targets and inclusion action plans.
  • We are committed to achieving CO2 Net Zero. In June2022, Forvia became the first global automotive group to be certified with the new SBTI Net‑Zero Standard.
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