CV/DL Engineer

Job Brief

As a Computer Vision Engineer, you will be responsible for direct contributions and maintenance of our existing Computer Vision pipelines that utilizes portable, scalable, reusable, and measurable algorithms and analytics, while inspiring and mentoring their teammates to ensure excellence in a fast paced dynamic Agile startup environment.

The ideal candidates will be able to bring a Data Science and Machine Learning mindset to our development team through CI/CD best practices, and be a model of the high standards of quality code that others strive to learn from and measure up to. The successful candidates will possess drive and ability to self start within a start-up company environment, where challenges are common and clarity of communication is critical. You bring additional expertise in utilizing Classic Computer Vision, or Deep Learning to analyse imagery, but ideally can do both.

Responsibilities

• Contributing to a one of a kind software that visualizes and delivers a state-of-the-art service aimed at changing the way growers and farmers look at and manage their crops.
• Delivering solutions that integrate the fields of robotics, computer vision, data science, big data and enterprise SAAS applied to agriculture.
• Closely work with Product Development and Product Owners to efficiently size, groom and prioritize user stories in an Agile Scrum environment.
• Participate in code reviews, Computer Vision Pipeline architecture discussions, while delivering models that efficiently scales with our customers and evolving needs.
• Ensuring quality software through appropriate testing coverage, measurable performance metrics, and quality releases through continuous deployment.
• Troubleshoot, triage, and fix production issues or bugs rapidly with skill and grace.

Requirements

• 3+ years experience in production Computer Vision development.
• Documented track record of delivering reliable, and scalable Computer Vision models in a CI/CD environment
• Demonstrated knowledge in Computer Vision techniques and processes.
• Experience with OpenCV (Python and/or C++)
• Experience with a deep learning framework such as Pytorch, TensorFlow, Caffe, or Theano a plus
• Experience with Docker, Kubernetes, Cloud, and Hybrid computing solutions a plus
• Strong critical thinking, problem solving, and communication skills
• BS Degree or equivalent experience