Job Title : Senior Computer Vision Engineer
Location : Bahria Town, Phase7, Rawalpindi
Employment Type : Full-Time
About the Role :
We are looking for a Senior Computer Vision Engineer to lead the design and deployment of intelligent vision-based systems. You will work on projects involving image and video analysis, object detection, tracking, segmentation, OCR, and 3D vision using state-of-the-art deep learning models.
Key Responsibilities :
- Design, implement, and optimize computer vision algorithms using classical techniques and deep learning.
- Work with datasets of images, videos, or 3D data (LiDAR, depth sensors) to train and evaluate models.
- Build real-time vision pipelines for tasks like detection, tracking, recognition, and segmentation.
- Research and apply SOTA models (CNNs, Transformers, GANs, etc.) for custom CV use cases.
- Collaborate with data scientists, ML engineers, and product teams to integrate CV systems into products.
- Deploy models to edge devices, cloud environments, or embedded systems depending on application.
- Ensure performance, accuracy, and efficiency of vision systems in production environments.
- Mentor junior engineers and guide the technical direction of CV projects.
Requirements :
Master’s or PhD in Computer Vision, Machine Learning, Computer Science, or a related field.4+ years of experience in computer vision and deep learning model development.Strong expertise in OpenCV, PyTorch, TensorFlow, and popular CV libraries.Experience with image processing, feature extraction, and neural network architectures (CNNs, R-CNN, YOLO, Mask R-CNN, ViT, etc.).Hands-on experience with datasets like COCO, ImageNet, KITTI, or custom datasets.Strong coding skills in Python and C++ (optional but valuable).Knowledge of real-time processing, model compression, and deployment to mobile / edge (e.g., TensorRT, ONNX, TFLite).Nice to Have :
Experience with 3D vision, SLAM, LiDAR, or AR / VR applications.Familiarity with robotics, autonomous systems, or drone vision.Experience publishing papers or contributing to open-source CV projects.