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
