Saazu Machines and Systems IT Jobs in Accra
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We're seeking a talented Computer Vision Engineer to join our cross-functional team. In this role, you'll collaborate with both hardware engineers and a full-stack web development team to design, develop, and implement cutting-edge computer vision solutions for our products.
Key Responsibilities
- Develop and optimize computer vision algorithms for object detection, tracking, and classification
- Work closely with the hardware team to ensure optimal integration of computer vision software with camera systems and embedded devices
- Collaborate with full-stack developers to integrate computer vision capabilities into web applications
- Design and implement image processing pipelines for real-time and offline analysis
- Create efficient, scalable, and maintainable computer vision solutions
- Evaluate and incorporate the latest research and technologies into our computer vision stack
- Optimize algorithms for performance and accuracy across different hardware platforms
- Participate in all phases of the development lifecycle, from research and prototyping to deployment
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Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related field; Master's or PhD preferred
- 3+ years of experience developing computer vision applications in production environments
- Strong programming skills in Python and C++
- Expertise with computer vision libraries and frameworks (OpenCV, TensorFlow, PyTorch, Roboflow, InsightFace)
- Experience with deep learning applied to computer vision problems
- Solid understanding of image processing fundamentals
- Familiarity with embedded systems and hardware constraints for vision applications
- Knowledge of RESTful APIs and web technologies for integration purposes
- Experience with cloud-based and offline computer vision services
Preferred Qualifications
- Experience with edge computing and model optimization for resource-constrained devices
- Knowledge of 3D vision techniques (depth cameras, SLAM, point clouds)
- Experience with camera calibration and multi-camera setups
- Background in production-level machine learning deployment
- Familiarity with GPU acceleration (CUDA, OpenCL)
What We Offer
- Opportunity to work on innovative computer vision applications with real-world impact
- Collaborative environment spanning hardware and software disciplines
- Competitive salary and benefits package
- Professional development opportunities and cutting-edge technical challenges
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1. Patiently scroll down and read the job description below.
2. Scroll down and find how to apply or mode of application for this job after the job description.
3. Carefully follow the instructions on how to apply.
4. Always apply for a job by attaching CV with a Cover Letter / Application Letter.
We're seeking a talented Computer Vision Engineer to join our cross-functional team. In this role, you'll collaborate with both hardware engineers and a full-stack web development team to design, develop, and implement cutting-edge computer vision solutions for our products.
Key Responsibilities
- Develop and optimize computer vision algorithms for object detection, tracking, and classification
- Work closely with the hardware team to ensure optimal integration of computer vision software with camera systems and embedded devices
- Collaborate with full-stack developers to integrate computer vision capabilities into web applications
- Design and implement image processing pipelines for real-time and offline analysis
- Create efficient, scalable, and maintainable computer vision solutions
- Evaluate and incorporate the latest research and technologies into our computer vision stack
- Optimize algorithms for performance and accuracy across different hardware platforms
- Participate in all phases of the development lifecycle, from research and prototyping to deployment
ADVERTISEMENT - CONTINUE READING BELOW
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related field; Master's or PhD preferred
- 3+ years of experience developing computer vision applications in production environments
- Strong programming skills in Python and C++
- Expertise with computer vision libraries and frameworks (OpenCV, TensorFlow, PyTorch, Roboflow, InsightFace)
- Experience with deep learning applied to computer vision problems
- Solid understanding of image processing fundamentals
- Familiarity with embedded systems and hardware constraints for vision applications
- Knowledge of RESTful APIs and web technologies for integration purposes
- Experience with cloud-based and offline computer vision services
Preferred Qualifications
- Experience with edge computing and model optimization for resource-constrained devices
- Knowledge of 3D vision techniques (depth cameras, SLAM, point clouds)
- Experience with camera calibration and multi-camera setups
- Background in production-level machine learning deployment
- Familiarity with GPU acceleration (CUDA, OpenCL)
What We Offer
- Opportunity to work on innovative computer vision applications with real-world impact
- Collaborative environment spanning hardware and software disciplines
- Competitive salary and benefits package
- Professional development opportunities and cutting-edge technical challenges
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