GoMotive is hiring a
Computer Vision Engineer in Pakistan

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Computer Vision Engineer
🏢 GoMotive
💵 ~$112k
📍Pakistan
📅 Posted on Jun 7, 2024

Summary

As a Computer Vision Engineer at Motive, you will work with a team to build technology that understands driving behavior, identifies risk factors, and suggests coachable events to improve fleet safety and road safety. The role involves improving existing models, building and optimizing computer vision/ML algorithms for real-time performance, collaborating with various teams, and solving challenging computer vision problems.

Requirements

  • At least 3+ years of algorithm development experience in the area of Computer Vision, Deep Learning, and Machine Learning
  • Candidates with Masters in Computer Vision, Deep Learning, and Machine Learning and 2+ years of relevant experience
  • Fresh PhD candidates are encouraged to apply
  • Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches
  • Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe)
  • Strong experience in Python or C++
  • Hands-on experience in building embedded algorithms and applications

Responsibilities

  • Improve the performance of our models and algorithms already in production
  • Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform i.e. the next-gen AI dashcam
  • Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression and porting pipelines
  • Convert state-of-the-art research prototypes into reliably working product features
  • Collaborate with RnD team working in Computer Vision, Machine Learning, and Robotics, along with ML Platform, Embedded, Backend, and Frontend teams to deliver end-to-end product features
  • Solve challenging object detection, segmentation, recognition, and geometric computer vision problems
  • Build automated deployment, validation, and active learning pipelines

Preferred Qualifications

  • Experience in the following tools and technologies is a plus: AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes
  • Prior experience with Eigen library and RTOS is a strong plus
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