Our Client Currently looking for Computer Vision Engineer
Key Responsibilities
- Design, develop and optimise computer vision algorithms for real-world applications.
- Build and improve image processing and machine learning pipelines.
- Design and implement data collection systems and data pipelines for vision applications.
- Develop object detection, tracking, segmentation and recognition algorithms.
- Work with cameras, sensors and perception systems.
- Deploy and optimise AI models for embedded and edge devices.
- Collaborate with software, hardware and systems engineers throughout the product development lifecycle.
- Evaluate and improve algorithm performance using real-world datasets.
Required Experience
- Master’s or Ph.D. in Computer Science, Electrical Engineering, Robotics or a related discipline.
- Minimum 5 years’ industry experience developing computer vision solutions.
- Strong programming skills in:
- Python
- C++
- Experience with:
- OpenCV
- TensorFlow and/or PyTorch
- Strong understanding of:
- Computer Vision
- Machine Learning
- Deep Learning
- Experience building data collection setups and data pipelines.
- Experience developing production-quality software.
Desirable Experience
- Robotics or autonomous systems.
- Automotive vision systems.
- Sensor fusion.
- LiDAR, depth cameras or stereo vision.
- Point cloud processing.
- NVIDIA Jetson.
- GPU optimisation.
- Embedded AI deployment.
- Docker.
- CI/CD pipelines.
- Linux development.
Personal Skills
- Strong analytical and problem-solving skills.
- Excellent communication skills.
- Able to work independently and within multidisciplinary engineering teams.
- Passion for innovation and solving challenging technical problems.
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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