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Image Processing Python Jobs (NOW HIRING)

Britech Group, Inc.

Java/Python Developer

Vista, CA · On-site

Experience with image processing libraries is a plus. Experience Required * 3 to 8 years of experience as a Java/Python Developer. Technical Skills * Strong experience in Java and Python application ...

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Image Processing Python information

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How much do image processing python jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for image processing python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is image processing in Python?

Image processing in Python refers to the use of Python programming and libraries to analyze, manipulate, and transform digital images. Python offers powerful libraries such as OpenCV, Pillow, and scikit-image, which make it easier to perform tasks like filtering, edge detection, resizing, and object recognition. Image processing is widely used in fields like computer vision, machine learning, and medical imaging. Python's easy syntax and vast ecosystem make it a popular choice for both beginners and professionals working with images.

What are the key skills and qualifications needed to thrive as an image processing Python developer?

To thrive as an Image Processing Python Developer, you need strong programming skills in Python, a solid understanding of image processing concepts, and typically a degree in computer science or a related field. Experience with libraries and tools such as OpenCV, PIL/Pillow, NumPy, and familiarity with machine learning frameworks is highly valuable. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating on complex projects and interpreting results. These competencies enable the development of efficient, reliable solutions for analyzing and manipulating visual data in various applications.

What are some common challenges faced by image processing Python professionals when working on real-world projects?

Image Processing Python professionals often encounter challenges such as handling large volumes of high-resolution image data, optimizing processing speed, and ensuring code scalability for diverse applications. Integrating advanced libraries like OpenCV or scikit-image with custom algorithms requires strong debugging and testing skills. Effective communication with cross-functional teams, such as data scientists and software engineers, is also essential to align image processing outputs with project goals and deployment requirements.

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

AspectImage Processing PythonComputer Vision Engineer
Required SkillsPython, OpenCV, NumPy, image analysisPython, OpenCV, deep learning, machine learning
Work EnvironmentResearch labs, software development, data analysisAI companies, tech firms, research institutions
Industry UsageImage enhancement, filtering, preprocessingObject detection, recognition, autonomous systems

Image Processing Python focuses on manipulating and analyzing images using Python libraries, often for preprocessing or enhancement tasks. Computer Vision Engineers build on this foundation to develop systems that interpret and understand visual data, often incorporating machine learning. While both roles require Python and image analysis skills, Computer Vision Engineers typically work on more complex AI-driven applications.

What other helpful pages are available for Image Processing Python?

Other pages related to Image Processing Python:

Infographic showing various Image Processing Python job openings in the United States as of September 2026, with employment types broken down into 66% Full Time, 24% Part Time, 5% Temporary, and 5% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Image Processing and Computer Vision Engineer

Painted Post, NY • On-site

DivIHN Integration Inc
Software Development • 51 - 200 employees
Learn more about DivIHN Integration Incexternal

$41.37/hr

Contractor

Re-posted 7 days ago

Job description

DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.

Visit us at https://divihn.com/find-a-job/ to learn more and view our open positions.

 
Please apply or call one of us to learn more

For further inquiries regarding the following opportunity, please contact one of our Talent Specialists, Marshelin at (224) 507-1280 (or) Hari at (224) 507-1276
 
Title: Image Processing and Computer Vision Engineer
Duration: 12 Months
Location: Painted Post, NY

The selected candidate will be working on The Die project and that requires US citizens or Green Card holders.
 
Hours of work/work schedule/flex-time: 40 hrs./week
 
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered
 
Description:
A contractor position interfacing directly with the Client's Environmental Technologies Division Engineering Measurements & Controls group with the purpose of contributing to and developing software and algorithms for processing imaging data. This work supports the inspection and production of CET products.
Day to Day Responsibilities:
  • Work closely with the measurements group to develop approaches for data manipulation to assist with production and quality feedback.
  • Develop software and image processing algorithms for inspection technology.
  • Transfer technology from early-stage development to a product suitable for use in manufacturing.
  • Create/update documentation for release to production for applications and procedures.
  • Train engineering, maintenance and operations people how to use and maintain developed applications and procedures.
  • Provide remote and onsite troubleshooting using data and performance analysis of the deployed applications.
 
Travel Requirements:
  • None
Required Education:
  • BS degree required, prefer advanced degree in Data Science, Computer Engineering, Physics, EE, ECE or Optics.
Required Experience/Skills:
  • Programming ability (C# & Python strongly preferred)
  • Understanding of Object-Oriented Programming and other software architecture concepts
  • Knowledge of image processing algorithms (blob analysis, edge finding, morphology, feature extraction, classification, metrology) Client's Restricted
  • Data retrieval, plotting and analysis
  • Strong communication and presentation skills (MS Office programs)
Desired Experience/Skills:
  • Experience with image processing development packages such as Halcon or OpenCV
  • Ability to train CNNs and utilize traditional machine learning methods
  • Knowledge of statistical analysis approaches and MEE concepts
  • Ability to interface with Database Management Systems
  • Experience with Metrology, Inspection and Product Quality in support of manufacturing
  • Optical measurements system development (optics, lighting, cameras, image acquisition, image analysis, laser, 3D measurement)
  • Fundamental knowledge of physical optics (principles of optics)
Soft Skills:
  • Ability to interact effectively with customers & coworkers as well as work independently.
  • You will need to be results oriented, a quick learner and be able to multi-task effectively

About us:
DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.