Computer Vision Engineer

This range is provided by BGSF. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Our client is searching for a Video Analytics Engineer to work on a project that will help improve urban living.

• Assist with video camera initial set up, configuration, management, instrumentation, monitoring, and security configurations.
• Evaluate third-party computer vision tools and libraries to drive innovation and automation.
• Implement algorithms for object tracking, unusual pattern recognition and scene detection.
• Optimize algorithms performance and solution reliability in real-time video workflows.
• Integrate machine learning models from different vendors with Enterprise Video Management Systems and workflow engines.
• Design, develop, and deploy scalable comprehensive computer vision solutions to enable Smart City use cases.

• Good understanding of computer vision principles as used in video analysis.
• Familiarity with algorithms for object/people detection, image and video segmentation, background subtraction.
• Background in data analytics and data science.
• Experience with Python development.
• Experience with Docker and Kubernetes for containerization and orchestration.
• Strong problem-solving and debugging skills.
• Self-starter with a passion for innovative technology.
• Commitment to learning with ability to self-study and obtain required technical certifications.
• Experience with and certification from Bosch, Hanwha, Genetec, Samsara, and competing technology providers will be very helpful.

• Mid-Senior level

• Full-time

• Analyst and Information Technology

• Government Administration