Computer Vision Engineer

Thinkways Software Technologies Pvt. Ltd.; Royal Tunbridge Wells; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading technology firm in the UK is seeking a Computer Vision Engineer to join their agile teams. The successful candidate will develop computer vision applications to enhance their Autonomise cloud platform. Essential skills include strong Python programming, experience with CNNs, and familiarity with Agile/DevOps practices. A MSc or PhD in a relevant field is required. This is an exciting opportunity to work on cutting-edge technology in a fast-paced environment.

Qualifications

• 2+ years experience in Python programming.
• Experience with Convolution Neural Networks for machine vision applications.
• Knowledge in Agile/DevOps practices, including SCRUM.

Responsibilities

• Join agile teams to develop computer vision applications.
• Work across all areas of the solution with an emphasis on computer vision.
• Follow and promote best practices in Agile/DevOps.

Skills

Python programming

Convolution Neural Networks (CNN's)

Object/face/pedestrian detection

Camera Calibration

3D stere, SLAM or Depth estimation from video

Linux

Docker

Open source machine learning platforms

Agile / DevOps practices

Good communication skills

Education

MSc or PhD in Computer Science or related field

Tools

Keras

TensorFlow

Git

Job description

Overview

Job Title: Computer Vision Engineer

About Us: VisionTrack is a multiple award winning IOT, high throughput / 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

• Proficient in Python programming (2+ years' experience)
• Previous experience in the development and use of Convolution Neural Networks (CNN's) for machine vision and image analysis applications
• Previous development and fast prototyping experience in at one of following specializations of computer vision or machine learning:
• Object/face/pedestrian detection and tracking
• Activity Recognition
• Camera Calibration
• 3D stere, SLAM or Depth estimation from video
• Proficient in Linux
• Experience with Docker
• Experience with large-scale data sets
• Proficient with open source machine learning platforms such as PyTorch or Keras / TensorFlow
• Ability to develop using rapid prototyping techniques aimed at demonstrating applications quickly in a fast moving environment
• Agile / DevOps
• Familiarity with SCRUM
• Familiarity with DevOps Continuous Integration / Continuous Delivery practices
• Good written and excellent spoken communication skills as well as attention to detail

Desired Skills

• MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field
• Python experience
• Experience shipping computer vision solutions or fast prototyping and development
• Strong grasp of latest cutting edge research in object detection, similarity, transfer & few-shot learning
• Experience with using CNNs models in production
• Experience using wide range of cameras or camera agnostic solutions
• DevOps CI/CD working / best practices. Automation first approach
• Git, including GitFlow & Pull Requests / Peer Reviews
• Working with Geospatial data
• Academic background in a scientific or technical discipline with some formal computer vision / machine learning content
• Publication in Computer vision or machine learning topics