Shakers for companies
Work with a contract Computer Vision Engineer
A certified Computer Vision Engineer for the project that needs the machine to see: detection and segmentation with OpenCV and convolutional networks, industrial inspection, video analytics and deployment on the edge.
Vision engineering, not image labelling. One specific person, chosen for their speciality, with a budget set by scope.
- Certified talent in AI and agent skills
- Meet up to 3 AI Builders in 72 h
- Flexible collaboration models




















European clients across different industries
We work with the top 4% of certified talent in our community
Meet 3 certified candidates in under 72 h
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The talent mix your company needs
At Shakers you will find AI Engineers and specialists across Tech, Product and Data
What this profile brings to your project
A Computer Vision Engineer builds systems that extract meaning from images and video: object detection and segmentation with OpenCV and convolutional networks, recognition, quality inspection and deployment on the edge or in cloud. The deliverable is a machine that sees and decides.
Their boundary: the Machine Learning Engineer works general models; the Computer Vision Engineer specialises them in pixel, video and edge.
One provider. One contract. Full traceability
How Shakers works for your company
Post your project
Tell us what the system must detect, the images you count on and when you want to start working on it.
You get three options
We match your brief against certified talent and introduce the three AI Builders who fit best.
The last word is yours
Meet the three specialists and choose who you collaborate with; we handle the rest.
Why work with Shakers
The advantages of adding this profile with Shakers
OpenCV and C++ when the pixel rules
The reference library of computer vision and C++ for edge performance: the stack the market measures, not the fashionable one.
Inspection that never tires
Visual quality control, defect detection and in-line measurement: every piece inspected with the same criterion, at machine pace.
2D/3D vision and edge deployment
Point clouds, stereo and models optimised for the edge: vision that decides on the device, without the plant needing a connection.
The boundary with ML clarified
If the pain is the machine seeing, vision; if it is general models with MLOps, ML. The boundary gets written before assigning.
Engineering, not annotation
Labelling images is another task and another budget: the engagement here is the system that detects, segments and measures.
Continuity if the specialist moves on
If the specialist changes, the system stays on: model and pipeline documented and another certified talent takes the camera.
Frequently asked questions
Any other questions? Our team will answer them.
Tell us what must be detectedWhat does a contract Computer Vision Engineer do?
Computer Vision Engineer or Machine Learning Engineer?
Which sectors does computer vision work in?
How do I know it is engineering and not annotation?
How much does a contract Computer Vision Engineer cost?
Is OpenCV still the standard in computer vision?
What gets delivered in the first weeks
The visual case bounded: what gets detected, with which camera and lighting, and with which accepted error. The first deliverable arrives with a prototype on your real images and the edge-or-cloud decision documented.
A craft with employers of its own
260 active tech ads in Spain mention computer vision, with titles crossing industry and product: 'Computer Vision Engineer' at Capgemini Engineering, 'Computer Vision and Edge AI' at Inetum or 'AI Research Engineer - Computer Vision' at Helsing (Shakers market analysis, n=31,957, September 2026). The craft has employers of its own; the by-project page was missing.
Sector by sector, not in the abstract
Inspection and quality control on the plant, store analytics in retail, medtech and sport: the same discipline lands differently in each sector, and the engagement arrives with the case chosen, not a catalogue.
Connect with AI specialists to build your next project
Find specialists in Tech, Product, Data to complement your team
AI Engineer
The generative boundary: when an LLM or an agent that interprets what got detected joins the visual system, their row builds that layer on foundation models.
Data Scientist
The data before the pixel: when the case needs analysis and experimental design besides vision, their row defines the question the camera will answer.
IoT Developer
The camera lives in a device: edge, sensors and communication. When the model deploys on the machine and not in the cloud, their row connects the hardware.
Python Developer
The language of the prototype and the training: when vision already detects and the application around it is missing, their row builds the product.
The AI talent you need Certified by Shakers
We introduce you to three ready_to_build AI Builders in 72 hours.