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Computer Vision Engineer

Thinkways Software Technologies Pvt. Ltd.
Tunbridge Wells
1 week ago
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Overview

Join to apply for the Computer Vision Engineer role at Thinkways Software Technologies Pvt. Ltd.

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. The role will involve working in all areas of the solution with more emphasis on computer vision applications deployed on our Autonomise cloud platform. Knowledge in Agile / DevOps working practices, including SCRUM, Continuous Integration & Continuous Delivery and the ability to 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 (CNNs) 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 stereo, 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
Seniorities
  • Entry level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Software Development

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