Computer Vision Engineer
Remote / Online - Candidates ideally in
Arkansas, USA
Listed on 2025-11-27
Arkansas, USA
Listing for:
digitalglobalservices
Full Time, Seasonal/Temporary, Remote/Work from Home
position Listed on 2025-11-27
Job specializations:
-
IT/Tech
Computer Science, AI Engineer, Machine Learning/ ML Engineer, Artificial Intelligence
Job Description & How to Apply Below
Location:
Remote / On-site / Flexible
Employment Type:
Full-time
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 Tensor Flow 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.
- 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, Tensor Flow, PyTorch).
- Proficiency in Python or C++ and familiarity with image processing techniques.
- Knowledge of convolutional neural networks (CNNs) and transformer-based vision models.
- 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.
If you’re passionate about computer vision and building intelligent systems, we’d love to hear from you!
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