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
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Looking for a Computer Vision Engineer
Allianz
BBVA
Bankinter
Microsoft
Qida
Accenture
Deloitte
Dcycle
HP
Línea Directa
Podo
Clicars
Sonosuite
Eroski
Civitatis
Alten
Vivla
Wayra
Cabify
Affinity
+600

European clients across different industries

Top 4%

We work with the top 4% of certified talent in our community

72 hours

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

Tell us what must be detected
Certified Shakers profile: Mateo, Full Stack Developer
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Mateo
Full Stack Developer
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Certified Shakers profile: Ana, DevOps Engineer
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Ana
DevOps Engineer
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Lucas
Backend Developer
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Emma
Security Engineer
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Specialist sitting on a sofa with a tablet and a Ready_to_build label

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.

PythonOpenCVC++PyTorchTensorFlowConvolutional networksObject detectionImage segmentationVideo analyticsEdge AI2D/3D visionMATLABAzure AI VisionGoogle Cloud Vision

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 detected
What does a contract Computer Vision Engineer do?
They build systems that see: detection and segmentation with OpenCV and convolutional networks, visual inspection, video analytics and deployment on edge or cloud. By project, on your images.
Computer Vision Engineer or Machine Learning Engineer?
If the pain is the machine seeing (inspect, detect, measure in image or video), vision; if it is general models on business data with MLOps, ML. The engagement arrives with the boundary written.
Which sectors does computer vision work in?
Those where the image decides: industrial inspection and quality control, retail and store analytics, medtech, sport and assisted driving. One discipline, with the case and the camera of each sector.
How do I know it is engineering and not annotation?
By the deliverable: a model that detects and measures on your images with measured precision, not hours of labelling. That is what gets certified here.
How much does a contract Computer Vision Engineer cost?
The mechanism sets it, not a rate: seniority, industrial or product sector, edge or cloud, and billing by project or by days. There is no local reference; the budget closes per engagement.
Is OpenCV still the standard in computer vision?
Yes: it appears in 89 active tech ads in Spain and anchors the role's roadmaps. Python and PyTorch cover training; OpenCV and C++ the pixel and the edge (n=31,957, September 2026).
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.

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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.

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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.

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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.

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The AI talent you need Certified by Shakers

We introduce you to three ready_to_build AI Builders in 72 hours.