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Computer Vision Engineer

Remote / Online - Candidates ideally in
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
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

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 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.
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, 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.
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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