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We’re Hiring: Senior Computer Vision Engineer
Location: Karachi, PakistanJob
Type: On-site / Hybrid
Experience Required: 2–4 Years
About the RoleWe are seeking Computer Vision Engineer to join our dynamic and innovative team! The ideal candidates will have hands-on experience in developing, optimizing, and deploying computer vision algorithms and models.
This role focuses purely on Computer Vision, working on projects involving:
Image processing
Object detection
Tracking
Segmentation
Visual analytics
You’ll collaborate closely with cross-functional teams to build real-world AI-driven solutions that enhance product intelligence and automation.
Key Responsibilities
Design, develop, and implement state-of-the-art computer vision algorithms for real-world applications.
Work on image and video analysis, object detection, classification, tracking, and 3D vision tasks.
Optimize models for real-time performance and scalability.
Conduct research and stay up to date with the latest advancements in computer vision and deep learning.
Collaborate with software engineers and data scientists to integrate vision models into production systems. Perform model validation, testing, and continuous improvement.
Manage end-to-end vision pipelines — from dataset preparation to model deployment.
Requirements
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Electrical Engineering, or related field.
2–4 years of experience in Computer Vision or related AI/ML domains.
Proficiency in Python and frameworks like TensorFlow, PyTorch, OpenCV.
Strong understanding of image processing, feature extraction, and neural network architectures (CNNs, YOLO, etc.).
Experience with GPU acceleration and optimization.
Hands-on experience with data annotation, training pipelines, and version control (Git). Ability to work independently as well as collaboratively in a hybrid/on-site setup.
Preferred Skills:
Familiarity with 3D vision, SLAM, or multi-camera systems.
Experience with edge deployment or computer vision in embedded systems.
Knowledge of MLOps practices for model lifecycle management.
Why Join UsOpportunity to work on cutting-edge computer vision projects.
Collaborative and learning-driven environment.
Hybrid flexibility with a focus on innovation and growth.
Competitive Salary and growth opportunities.
If you are a fit for the role, send your resume to careers@xloopdigital.com with the subject line "Computer Vision Engineer".
Job Type: Full-time
Work Location: In person
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