Dedicated computer vision engineers for your offshore team.
Offshore computer vision engineers in Chiang Mai and Bangkok, working full time on your roadmap and managed by us. A computer vision engineer builds systems that work from images and video: detection, classification and segmentation, fast enough to be useful.
One agreement and one fixed monthly fee, with a service delivery manager in Thailand who runs your team day to day.
This role is part of a dedicated AI engineering team. It's staff augmentation, fully managed: take one role on its own, or the whole discipline as one delivery team.
One Computer Vision Engineer, assigned to your product and fully managed.
We assign a Computer Vision Engineer to your team full time and run everything around them: a service delivery manager who answers for the work, training and coaching, the office and equipment, and HR and payroll. The price below is for a mid-level Computer Vision Engineer; junior and senior levels are priced in your proposal, and how the monthly fee is built explains the arithmetic.
From price
One mid-level Computer Vision Engineer, full time, everything below included. All 27 things included ››
- Computer vision engineer From USD 4,200 per month
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Service
We manage and develop the team
- A service delivery manager who runs the team and answers for delivery
- A 1:1 with our Head of Delivery every two weeks
- Weekly delivery scoring and monthly capacity reports
- A Talent Success Manager for every specialist
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HR
We are the employer
- Recruitment and technical assessment
- Employment contracts
- Salary and payroll
- Tax and social security
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Facilitation
We provide the workplace
- A desk in our own office in Chiang Mai or Bangkok
- A Workplace Experience Manager on site
- Team events through the year
- IT support
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Equipment
We supply the tools
- Laptop and hardware
- Software licences
- LinkedIn Learning access
- Device security and management
What a Computer Vision Engineer does on a managed AI engineering team.
They work with your product team and whoever captures or labels your images, and plan for the hardware the model will run on from the first week.
Computer Vision Engineer skills and technologies
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Object detection, classification and segmentation models trained on your own data.
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Image and video pipelines, including preprocessing and annotation workflow.
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Inference optimisation for edge or real-time deployment where latency is the constraint.
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Managing dataset versioning so a model can be traced back to the exact data it was trained on.
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Handling the edge cases that break vision systems in production, such as lighting, occlusion and unusual angles.
Computer Vision Engineer seniority levels.
Senior. Turning a working notebook into a deployable vision system takes real experience. Seniority is one of the inputs into how the monthly fee is built.
When your team needs a Computer Vision Engineer.
A specialist role for products with a physical or document-processing side, working alongside an AI or LLM engineer. Computer vision engineers join as part of a dedicated AI team.
What we look for in a dedicated Computer Vision Engineer.
We look for vision engineers who have taken a model from notebook to deployment. They should know their data pipeline as well as their architecture, version datasets, and plan for bad lighting and unusual angles.
Your remote Computer Vision Engineer's first three months.
- Weeks 1 to 2Reviewing your images, labels and deployment target, and setting up dataset versioning.
- Weeks 3 to 6Training first models and measuring them on real-world samples.
- Months 2 to 3Optimising inference for your hardware and hardening the model against edge cases.
Questions about adding a Computer Vision Engineer to your team.
Do we need labelled training data?
Usually some. Our engineer can set up an annotation workflow, or use a pre-trained model where it gets close enough.
Can models run on edge devices?
Yes, with quantisation and optimisation. Latency is usually the deciding factor.
Add remote computer vision engineers to your team.
Tell us your roadmap and your stack, and we'll come back with the right profile, the capacity and a start date. You can also talk to a service delivery manager first.
Add computer vision engineers to your remote team.
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