Quick Summary
OptiView Systems is hiring a Computer Vision Engineer to join its growing remote engineering team. The role focuses on developing and deploying vision-based algorithms and systems that enhance automation, image recognition, and real-world applications. This position is ideal for entry-level engineers with a strong academic foundation, as well as professionals with some prior experience in computer vision and AI research.
Project Category or Industry
Artificial intelligence, computer vision, and image processing within the technology and automation sector.
Type
Full-time, remote engagement.
Experience Level
Primarily open to fresh graduates and entry-level applicants, while mid-level candidates with relevant project experience are also welcome.
Duration
Long-term position with opportunities for advancement and permanent employment.
Location
Remote role with flexibility to work across time zones, with a preference for candidates available for collaboration during core European or North American hours.
Salary
$65,000 to $90,000 annually, depending on skills and experience.
Payment Mode
Monthly salary via direct deposit or international transfer.
Hiring Company Name
OptiView Systems.
Required Skills or Tools
Candidates should demonstrate strong proficiency in Python or C++, with knowledge of computer vision libraries such as OpenCV, TensorFlow, or PyTorch. Familiarity with image recognition, object detection, video analysis, and deep learning architectures is highly valued.
Project Description
The Computer Vision Engineer will contribute to designing intelligent software that processes visual information for various automation and analysis tasks. The role requires the ability to translate research concepts into real-world solutions that can be integrated into company products.
Core Responsibilities and Expected Deliverables
Key tasks include developing algorithms for image and video recognition, training and optimizing neural networks, and ensuring accurate detection and classification performance. Deliverables involve producing scalable code, integrating models into production systems, and maintaining high performance across diverse environments.
Required Experience and Preferred Qualifications
An academic background in computer science, electrical engineering, or a related field is required. Hands-on experience with computer vision projects, either through academic work or professional exposure, is preferred. Candidates with experience in GPU acceleration, real-time video processing, or related specializations will have an advantage.
Tools or Platforms to Be Used
The role involves work with OpenCV, TensorFlow, PyTorch, CUDA, and cloud-based platforms such as AWS or Google Cloud for model deployment.
Language Requirement
Fluent English is required. Additional language skills are welcome but not mandatory.
Communication Style
Team members collaborate primarily through Slack, Zoom, and email, with weekly sprint reviews and progress updates.
Time Commitment or Working Window
Approximately 35 to 40 hours per week, with flexible working hours as long as overlap with core team meetings is maintained.
Payment Terms
Monthly fixed salary with an annual performance review and opportunities for bonuses.
Evaluation Criteria
Candidates will be assessed on technical expertise, problem-solving ability, code quality, and their capacity to adapt research into practical solutions. Shortlisted applicants will undergo technical assessments and interviews.
Other Requirements
Successful candidates may be asked to sign a non-disclosure agreement and utilize time-tracking software for project monitoring.
About the Client or Company
OptiView Systems is a technology company specializing in computer vision solutions for industries ranging from healthcare to security and automation. With headquarters in Toronto, Canada, the company operates globally, delivering innovative vision-based systems that improve efficiency and accuracy across sectors. Its mission is to leverage artificial intelligence to create safer, smarter, and more connected solutions.
For more information, visit www.optiviewsystems.com or contact careers@optiviewsystems.com.