Lead Computer Vision Scientist




Lead Computer Vision Scientist

Montreal, Quebec  - Permanent


Job Description

25% of the Fortune 50 trust our client to deliver secure, high-quality training data and validation for the technology teams driving humanity forward. Founded over a decade ago, they are experts in image, video and sensor data annotation and validation for machine learning algorithms in industries including automotive, navigation, AR/VR, biotech, agriculture, manufacturing, and e-commerce.

What You’ll Do:

With a commitment to the success of our customers, you will use your outstanding development skills to deliver compelling computer vision solutions for the top Fortune 500 companies.

You will be responsible for developing and improving our technology to detect and track objects on images, videos and Lidar systems, and driving forward our computer vision technology offering, from research to productization. Through proper planning and delivery, you will work collaboratively with Product Management and your scrum team to deliver the best products and solutions to our customers.


Must Have Skills:

•PhD or Masters in computer vision, image processing, artificial intelligence, or a related field, along with at least 5+ years of industry experience.
•Experience in leading computer vision projects, from prototype to delivery.
•Proficient in Python and general OOP development.
•Experience with deep learning frameworks such as TensorFlow or Pytorch, and computer vision frameworks such as OpenCV.
•Familiarity with scientific computing libraries such as numpy, pandas, scikit.
•Can develop and prototype new machine learning techniques, and run experiments to systematically improve model accuracy.
•Understanding of service-oriented architectures.


Nice to Have Skills:

•Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, CVPR, JMIV, SPIE, etc.
•Experience with cloud Infrastructure (AWS, GCP, Azure).
•Comfortable working with a distributed team.


Details:

Starting: ASAP