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Online Computer Vision Jobs in Michigan (NOW HIRING)

TH Medical

Pharmacy Technician Part Time Rotate

Detroit, MI · On-site

$17.25 - $21/hr

... on-line computer keyboard and typewriter to maintain patient profile, capture charges, enter prescription data and access patient information. Visual acuity and color vision to read prescriptions ...

TH Medical

Telemetry Associate

Detroit, MI · On-site

$2.0K - $2.7K/wk

Medical, dental, vision, and life insurance 401(k) retirement savings plan with employer match ... Operates on-line computer terminal to transcribe orders and enter/retrieve/correct patient ...

Wheel the World

Lead ML Engineer - Mapping

Ann Arbor, MI · On-site

$225 - $275/hr

This includes online vectorized HD map construction, end‑to‑end mapping models, and vision ... D. or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field ...

TH Medical

Telemetry Associate

Detroit, MI

$2.0K - $2.7K/wk

Medical, dental, vision, and life insurance 401(k) retirement savings plan with employer match ... Operates on-line computer terminal to transcribe orders and enter/retrieve/correct patient ...

TH Medical

Telemetry Associate

Detroit, MI · On-site

Medical, dental, vision, and life insurance 401(k) retirement savings plan with employer match ... Operates on-line computer terminal to transcribe orders and enter/retrieve/correct patient ...

DMC Sinai-Grace Hospital

Telemetry Associate

Detroit, MI · On-site

$2.0K - $2.7K/wk

The available plans and programs include: • Medical, dental, vision, and life insurance • ... Operates on-line computer terminal to transcribe orders and enter/retrieve/correct patient ...

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Online Computer Vision information

What is an online computer vision specialist?

An Online Computer Vision specialist is a professional who designs and implements computer vision algorithms and systems that process images or videos in real-time over the internet or cloud platforms. Their work often involves developing applications for object detection, facial recognition, image classification, and video analysis that operate efficiently in online or streaming environments. These specialists need strong skills in programming, machine learning, and computer vision frameworks, and they often collaborate with data scientists and software engineers to deploy scalable solutions. Online Computer Vision is commonly used in industries such as security, healthcare, retail, and autonomous vehicles.

What are the key skills and qualifications needed to thrive as an online computer vision engineer?

To excel as an Online Computer Vision Engineer, you need a solid background in computer science, machine learning, and image processing, typically supported by a relevant degree. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), experience with OpenCV, and proficiency in programming languages like Python or C++ are crucial. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies enable the development of accurate, scalable computer vision solutions that drive innovation in real-time, online environments.

What are some common challenges faced by professionals working in online computer vision roles?

Professionals in online computer vision often encounter challenges such as processing large volumes of visual data in real-time and ensuring high accuracy in diverse and unpredictable environments. They must also address latency and bandwidth constraints when deploying models over the internet, and regularly update algorithms to keep up with evolving data patterns. Collaboration with data engineers, software developers, and product teams is essential to integrate vision solutions into scalable systems and deliver user-centric results.

What is the difference between Online Computer Vision vs Computer Vision Engineer?

AspectOnline Computer VisionComputer Vision Engineer
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; knowledge of machine learning and programmingBachelor's or Master's in Computer Science, AI, or related fields; strong programming skills in Python, C++, and experience with deep learning frameworks
Work EnvironmentRemote or online platforms, project-based tasks, often freelance or contract rolesOffice or remote, involved in developing and deploying computer vision models within teams
Employer & Industry UsageTech companies, startups, research labs focusing on AI applicationsTech firms, R&D departments, startups working on AI and image processing solutions

Online Computer Vision roles typically focus on applying computer vision techniques in online or remote settings, often involving freelance or project-based work. In contrast, Computer Vision Engineers are more involved in developing, implementing, and maintaining computer vision systems within organizations. Both roles require similar educational backgrounds but differ in work environment and scope of responsibilities.

What are the most commonly searched types of Computer Vision jobs in Michigan?

The most popular types of Computer Vision jobs in Michigan are:

What are popular job titles related to Online Computer Vision jobs in Michigan?

For Online Computer Vision jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Online Computer Vision jobs in Michigan look for?

The top searched job categories for Online Computer Vision jobs in Michigan are:

What cities in Michigan are hiring for Online Computer Vision jobs?

Cities in Michigan with the most Online Computer Vision job openings:

Online Computer Vision jobs near you

Senior Machine Learning Engineer (Computer Vision & AI)

faurecia S.A.

Auburn Hills, MI • On-site

$100 - $130/hr

Other

Posted 5 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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