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Computer Vision Engineer

Southborough
2 days ago
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Job Title: Computer Vision Engineer

Location: Tunbridge Wells - Hybrid 

About us:

VisionTrack is a multiple award winning IOT, high throughout / big data insurance telematics & video solution.

Role:

We are looking for developers with experience in computer vision applications to join one of our agile development teams. We try to avoid silos of knowledge so the role will involve working in all areas of the solution but with more emphasis on computer vision applications deployed on our Autonomise cloud platform. We are looking for someone who can fit into this way of working, so knowledge in Agile / DevOps working practices, including SCRUM, Continuous Integration & Continuous Delivery and someone who can follow and promote best practices in these areas is essential.

Essential Skills:

.NET

C#

Mvc (Framewrk and/or Core)

WebApi

SignalR

Python programming experience

Previous experience in the development and use of Convolution Neural Networks (CNN’s) for machine vision and image analysis applications

Experience with large-scale data sets

Experience with open source machine learning platforms such as Keras / tensorflow or PyTorch

Ability to develop using rapid prototyping techniques aimed at demonstrating applications quickly in a fast moving environment.

Agile / DevOps

Familiarity f SCRUM

Familiarity f DevOps Continuous Integration / Continuous Delivery practices. 

Desired Skills:

Azure

Azure Functins / Serverless Architecture / Microservices

Sql Database’s

EventHub

Redis

CsmosDb, or other NoSql Db’s

Autmation, Powershell / ARM templates

Applicatin Insights

Azure Search

Resiliency - Availability Sets, Availability Znes, Region Paris

IOT expereince

DevOps CI/CD working / best practices.  Automation first approach.

TeamCity, Octopus Deploy

Git, including GitFlow & Pull Requests / Peer Reviews.

ReactJs, Jest, ESLint, Sinon, Npm, Webpack

Working with Geospatial data.

Azure Big Data technologies, DataLake, Sql Data Warehouse, Azure Databricks

Media Decoding

Academic background in a scientific or technical discipline with some formal computer vision / machine learning content

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