Design and deliver vision models that interpret the world, powering intelligent automation, detection, and insight across industries. Build and train cutting-edge vision models using CNNs, Transformers, and generative architectures. Deploy models for real-time inference on cloud and edge environments.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Computer Vision Engineer
Are you a visual intelligence pioneer who sees patterns in pixels and meaning in motion?
We’re helping an advanced AI company find a Computer Vision Engineer to develop perception systems that enable smarter, safer, and more responsive products.
We’re working with a pioneering AI company developing advanced vision systems that enable autonomous machines, industrial analytics, and next-generation safety technology. They’re seeking a Computer Vision Engineer who can transform visual data into real-world understanding.
Your Role as a Computer Vision Engineer:
Design and deliver vision models that interpret the world - powering intelligent automation, detection, and insight across industries
What You’ll Do:
- Build and train cutting-edge vision models using CNNs, Transformers, and generative architectures.
- Design data pipelines for large-scale image and video processing.
- Deploy models for real-time inference on cloud and edge environments.
- Apply advanced techniques in segmentation, object tracking, and 3D reconstruction.
- Collaborate with cross-functional teams to deliver vision-powered solutions.
What You Bring:
- Deep expertise in computer vision frameworks (PyTorch, TensorFlow, OpenCV).
- Understanding of deep learning architectures and visual data pipelines.
- Experience optimising models for edge or low-latency environments.
- Passion for visual intelligence and its power to transform perception and automation.
Why Join the Remobi Community:
- Fully remote, B2B/freelance contracts.
- Work with world-class talent across cutting-edge sectors.
- Access to Remobi resources, curated AI content, and exclusive networking.
👉 Apply today and help teach machines to see and understand the world!