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Freelance Machine Vision Engineer Jobs in Michigan

androidind

Automation Controls Engineer

Auburn Hills, MI · On-site

$79K - $104K/yr

The Automation Controls Engineer is responsible for the design, integration, programming, and ... Ability to learn new technologies, particularly emerging robotics and machine vision platforms.

Hitachi Careers

Software Engineer

MI · Remote

Machine Vision - Halcon, Cognex VisionPro, Keyence, Matrox MIL, NI, etc. * Lab/Test Automation - National Instruments LabView, low-level and embedded programming * HMI/SCADA programming - FTView ME ...

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... Vision * Personal Time Off (PTO) Program * Long Term Disability (100% paid) * Life Insurance (100 ...

DISHER

Electrical Hardware Engineer

Norton Shores, MI · On-site

The Electrical Hardware Engineer is responsible for the design, layout, build, and validation of LED based lighting fixtures for machine vision applications. As an individual contributor, you will ...

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Freelance Machine Vision Engineer information

Can you make 10k a month freelancing?

A Freelance Machine Vision Engineer can potentially earn $10,000 or more per month depending on experience, project complexity, client base, and hourly or project rates. Building a strong portfolio, specialized skills in AI and image processing, and establishing long-term client relationships can help achieve higher income levels. However, income varies widely and depends on market demand and individual effort.

What are the key skills and qualifications needed to thrive as a Freelance Machine Vision Engineer, and why are they important?

To excel as a Freelance Machine Vision Engineer, you need a solid background in computer vision, image processing, and programming, typically supported by a degree in engineering, computer science, or a related field. Familiarity with tools like OpenCV, MATLAB, TensorFlow, and industrial camera systems, as well as relevant certifications, is highly valuable. Strong problem-solving skills, effective communication, and the ability to work independently distinguish top performers in this role. These capabilities are crucial for delivering innovative, client-focused solutions and adapting to diverse project requirements in a rapidly evolving industry.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers play a crucial role in developing, training, and fine-tuning AI models, as well as integrating them into real-world applications. Their expertise in algorithms, programming, and domain knowledge ensures that AI systems function effectively and ethically, making their role essential despite advancements in automation. Continuous learning and skills in machine learning frameworks like TensorFlow or PyTorch are important for these professionals.

What is the salary of a freelance ML engineer?

A freelance machine vision engineer's salary varies based on experience, project complexity, and location, but typically ranges from $50 to $150 per hour. Experienced professionals with specialized skills in deep learning and computer vision tools may command higher rates, especially for complex or long-term projects.

What is a Freelance Machine Vision Engineer?

A Freelance Machine Vision Engineer is a specialist who designs, develops, and implements computer vision systems on a project or contract basis. These professionals work independently with various clients to create solutions that enable machines to interpret and process visual information, such as images and videos, for tasks like quality inspection, object detection, or automation. Their work often involves programming, selecting appropriate hardware, and integrating vision systems into larger processes or machines. Freelancers in this field may serve industries like manufacturing, robotics, agriculture, or healthcare, depending on project needs.

What engineer makes $500,000 a year?

A highly experienced freelance machine vision engineer working on advanced projects in industries like autonomous vehicles or aerospace can potentially earn $500,000 annually. Such roles typically require specialized skills in computer vision, deep learning, and extensive industry experience, often involving consulting or contract work with high-value clients.

What is the difference between Freelance Machine Vision Engineer vs Machine Vision Engineer?

AspectFreelance Machine Vision EngineerMachine Vision Engineer
CredentialsTypically requires a degree in engineering or computer science; certifications are optionalUsually holds a degree in related fields; certifications can enhance prospects
Work EnvironmentIndependent, project-based, often remote or on-site at client locationsEmployed full-time at companies, labs, or research institutions
Employer & Industry UsageServes multiple clients across industries like manufacturing, robotics, and automationWorks within a single organization, focusing on internal projects

Freelance Machine Vision Engineers typically work independently on diverse projects, offering flexibility and a broad industry reach. In contrast, Machine Vision Engineers are usually employed full-time within organizations, focusing on specific company goals. Both roles require technical expertise, but their work settings and employment structures differ significantly.

How do freelance machine vision engineers typically manage client expectations and project timelines?

Freelance machine vision engineers often balance multiple projects and clients, making clear communication essential for managing expectations and deadlines. They usually begin by setting detailed project scopes, deliverables, and realistic timeframes in consultation with clients. Regular progress updates, milestone check-ins, and transparent reporting help prevent misunderstandings and ensure alignment throughout the development process. By proactively addressing potential challenges and being adaptable to changes, freelancers can maintain client satisfaction and build long-term relationships.
What are the most commonly searched types of Machine Vision Engineer jobs in Michigan? The most popular types of Machine Vision Engineer jobs in Michigan are:
What are popular job titles related to Freelance Machine Vision Engineer jobs in Michigan? For Freelance Machine Vision Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Vision Engineer jobs in Michigan look for? The top searched job categories for Freelance Machine Vision Engineer jobs in Michigan are:
What cities in Michigan are hiring for Freelance Machine Vision Engineer jobs? Cities in Michigan with the most Freelance Machine Vision Engineer job openings:
Freelance Machine Vision Engineer jobs near you
Senior Machine Learning Engineer (Computer Vision & AI)

Senior Machine Learning Engineer (Computer Vision & AI)

Faurecia

Auburn Hills, MI • On-site

$115K - $152K/yr

Full-time

Re-posted 23 days ago

Faurecia rating

5.9

Company rating: 5.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Forvia, a sustainable mobility technology leader
We pioneer technology for mobility experience that matter to people.
Your mission, roles and responsibilities
Role 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 and competencies to succeed
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
  • At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.
  • We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development.
  • We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count.
  • 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 (five campuses around the world)
  • We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans.
  • Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy.

Why join us
FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.
With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world.
In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045.
As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.

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