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Computer Vision Engineer Jobs in Arkansas (NOW HIRING)

digitalglobalservices

Computer Vision Engineer

Little Rock, AR · On-site +1

$106.90K - $126.10K/yr

Remote / On-site / Flexible Employment Type: Full-time Job Summary We are seeking a skilled Computer Vision Engineer to design and develop cutting-edge vision-based solutions. In this role, you will ...

UVeye

CAD Engineer

Fort Smith, AR · On-site +1

$60K - $80K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... We are seeking an experienced CAD Engineer to join the US Implementation Team. In this role, you ...

Rishabh Software Pvt. Ltd

AI Engineer

Little Rock, AR

$109.80K - $131.90K/yr

AI Engineer Location: Carmel, IN, Little Rock, AR & Eagan, MN (Hybrid) Duration: Contract to hire ... Research and prototype AI/ML models in areas such as NLP, computer vision, generative AI, and ...

Walmart

(USA) Manager, Automation Engineering

Decatur, AR · On-site

$90K - $180K/yr

Develop robotics computer vision systems (detection, segmentation, pose estimation, 3D vision ... Strong programming skills in C++ and Python Experience with: * Perception & Sensor Fusion (LiDAR ...

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$40.1K

$100.5K

$113.7K

How much do computer vision engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for computer vision engineer in Arkansas is $100,482.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $108,700.00 per year, depending on experience, location, and employer.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

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

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs
What are popular job titles related to Computer Vision Engineer jobs in Arkansas? For Computer Vision Engineer jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Arkansas look for? The top searched job categories for Computer Vision Engineer jobs in Arkansas are:
What cities in Arkansas are hiring for Computer Vision Engineer jobs? Cities in Arkansas with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Arkansas as of May 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $100,482 per year, or $48.3 per hour.

Computer Vision Engineer

digitalglobalservices

Little Rock, AR • On-site, Remote

$106.90K - $126.10K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Location: Remote / On-site / Flexible Employment Type: Full-time Job Summary We are seeking a skilled Computer Vision Engineer to design and develop cutting-edge vision-based solutions. In this role, you will create algorithms and systems for image and video analysis, object detection, facial recognition, and other computer vision tasks. You will collaborate with cross-functional teams to build intelligent applications for real-world problems, leveraging the latest advancements in deep learning and artificial intelligence.

Key Responsibilities Develop and implement computer vision algorithms for tasks such as object detection, image segmentation, and pose estimation. Train and optimize deep learning models using frameworks like TensorFlow or PyTorch. Work with image and video datasets for preprocessing, augmentation, and annotation.

Integrate vision models into production systems for applications like robotics, AR/VR, or autonomous systems. Stay updated on emerging trends and technologies in computer vision and deep learning. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field (PhD is a plus).

Strong experience with computer vision frameworks and libraries (e.g., OpenCV, TensorFlow, PyTorch). Proficiency in Python or C++ and familiarity with image processing techniques. Knowledge of convolutional neural networks (CNNs) and transformer-based vision models.

What We Offer Competitive compensation aligned with industry standards and your experience. Performance-based incentives and rewards. Opportunities for professional growth and skill development.

Comprehensive health and wellness benefits. A flexible and inclusive work environment. How to Apply If you're passionate about computer vision and building intelligent systems, we'd love to hear from you!

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