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Image Processing Engineer Jobs in Michigan (NOW HIRING)

AI Engineer (W2 Position)

Dearborn, MI ยท On-site

$50 - $55/hr

... language processing, image processing, cognitive automation, intelligent process automation ... programming * Research and optimize AI technologies to enhance efficiency and accuracy of data ...

Principal SW Developer

Auburn Hills, MI ยท On-site

$127.80K - $171.30K/yr

Seeking a talented Senior Design Engineer to join our global team and will be responsible Oversee ... Image Processing: OpenCV, ISP tuning, HDR fusion, denoise, demosaic, geometric undistortion, seam ...

Knowledge of image processing using data from in-vehicle camera is preferred. Knowledge of ADAS control function is required Programming skills in C/C++ and MATLAB/Simulink are required. * Knowledge ...

Knowledge of image processing using data from in-vehicle camera is preferred. Knowledge of ADAS control function is required Programming skills in C/C++ and MATLAB/Simulink are required. * Knowledge ...

Software Engineer

Ypsilanti, MI ยท On-site

$86.10K - $181K/yr

Software Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to ... We utilize modern commercial technologies in conjunction with advanced image processing methods to ...

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Image Processing Engineer information

See Michigan salary details

$4

$54

$78

How much do image processing engineer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for image processing engineer in Michigan is $54.55, according to ZipRecruiter salary data. Most workers in this role earn between $45.24 and $58.27 per hour, depending on experience, location, and employer.

What Does an Image Processing Engineer Do?

An image processing engineer assists with the entire life cycle of data classification algorithms and image processing for a company. Your responsibilities in this career are to analyze data, write reports, develop methods for feature extraction and classification, research basic to advanced image processing algorithms, give presentations, and create visual interpretations of data. Your duties also include working on target detection and tracking, video georeferencing, implementing an image processing system, enhancing new software, and enabling immersive augmented and virtual reality experiences. You also develop algorithms for real 3D images and accurate wireless tracking.

What are the key skills and qualifications needed to thrive as an Image Processing Engineer, and why are they important?

To thrive as an Image Processing Engineer, you need a strong background in mathematics, computer vision, and programming (often with a degree in computer science, electrical engineering, or a related field). Familiarity with tools and libraries such as OpenCV, MATLAB, Python, and machine learning frameworks is typically expected, along with experience in image analysis algorithms. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with multidisciplinary teams and interpret complex results. These skills are crucial for developing robust image processing solutions that meet technical requirements and drive innovation in fields like healthcare, automotive, and security.

What are some common challenges Image Processing Engineers face when working on cross-functional teams?

Image Processing Engineers often collaborate with data scientists, software developers, and hardware engineers, which can present challenges in aligning technical requirements and timelines. One frequent hurdle is ensuring that image processing algorithms integrate seamlessly with broader system architectures, especially when resources or real-time performance constraints are involved. Clear communication and adaptability are key, as team members may have differing levels of understanding of image processing concepts. Building strong collaborative relationships and regularly sharing progress can help overcome these challenges and ensure project success.

What is the difference between Image Processing Engineer vs Computer Vision Engineer?

AspectImage Processing EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of image processing algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; expertise in computer vision techniques
Work EnvironmentResearch labs, tech companies, imaging hardware firmsTech companies, autonomous vehicles, robotics, AI firms
Industry UsageFocus on image enhancement, filtering, and analysisFocus on object detection, scene understanding, and AI integration

While both roles involve working with visual data, Image Processing Engineers primarily focus on improving and analyzing images through algorithms, whereas Computer Vision Engineers develop systems that interpret and understand visual information for applications like autonomous vehicles and AI. The roles often overlap but differ in their core objectives and application areas.

What are the most commonly searched types of Image Processing Engineer jobs in Michigan? The most popular types of Image Processing Engineer jobs in Michigan are:
What are popular job titles related to Image Processing Engineer jobs in Michigan? For Image Processing Engineer jobs in Michigan, the most frequently searched job titles are:
What are popular job titles related to Image Processing Engineer jobs in MI? For Image Processing Engineer jobs in MI, the most frequently searched job titles are:
Artificial Intelligence Engineer

Artificial Intelligence Engineer

Stefanini

Dearborn, MI โ€ข Remote

Other

Posted 3 days ago


Job description


Stefanini Group is hiring!
Stefanini is looking for an Artificial Intelligence Engineer (Dearborn, MI)
For quick apply, please reach out to Navneet Pathak at /
We are looking for a candidate who is responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming
ResponsibilitiesUnderstand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automationExperience in a product engineering role with proven track record of translating business needs into technical specifications for applied AI implementation. Understanding semantic ontologies and how they enable advanced analytics. Experience integrating COTS AI solutions into an enterprise tech stack. Functional understanding of supply chain operations, including demand & capacity planning, logistics, sustainability & risk management, resilience, etc.Act as the primary technical lead for applied AI implementation. Take pre-developed models from internal partners or 3rd-party vendors (COTS) and successfully deploy them within the supply chain Google Cloud Platform space. Work closely with Knowledge Graph engineering teams to map model inputs/outputs to enterprise ontologies. Execute model inference against graph data to provide prescriptions for N-tier supplier risk and material movement. Champion and implement AI-assisted development practices. Use LLM-based tools (e.g., GitHub Copilot, automated PR agents, and AI-generated documentation) to accelerate delivery and ensure high code quality. Design the "connective tissue" between Knowledge Graph updates and model inference engines. Maintain automated pipelines that ensure decision-support tools are always powered by the most current data. Develop reusable integration patterns and data contracts to ensure that AI solutions can be scaled across multiple business units without redundant engineering effort.Proven track record of using AI tools to enhance personal or team productivity (e.g., Agentic workflows, RAG-based requirement synthesis).
Skills RequiredArtificial Intelligence & Expert Systems, Machine Learning, Data Science, Data Modeling, Software Development Lifecycle
Experience Required5+ years of experience in relevant field3+ years of progressive experience in AI/ML, data science, or advanced analytics, with a proven track record of delivering production-grade solutions in large enterprise environments. Strong proficiency in Python and SQL. Familiarity with Graph Query Languages (e.g., Cypher). Demonstrated experience with MLOps principles and tools (e.g., Azure ML, AWS SageMaker, Google Cloud Platform AI Platform, Kubeflow, MLflow) and designing / implementing AI-specific SDLCs. Strong technical expertise in cloud services (Google Cloud Platform/Vertex AI) and data integration patterns
Education Required:Bachelor's degree in computer science, Engineering, Data Science, or a related technical field.
Education Preferred:Master's Degree
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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