- Senior Software Engineer- Computer Vision
- Competitive Salary with good benefits
About Our Client
This organisation is a part of the technology industry and is recognised as a large organisation with a strong presence in technology and innovation. They are committed to delivering high-quality solutions and staying ahead in their field
Job Description
- Develop and implement computer vision algorithms and models to enhance media solutions.
- Collaborate with cross-functional teams to integrate computer vision capabilities into existing platforms.
- Optimise and test algorithms for performance and scalability.
- Research and implement advancements in computer vision and machine learning technologies.
- Create and maintain technical documentation for developed solutions.
- Provide technical support and troubleshooting for computer vision-related issues.
- Ensure code quality and adhere to best practices for software development.
- Contribute to the continuous improvement of the technology department's processes and tools.
The Successful Applicant
A Successful Software Engineer- Computer Vision Should Have
- 7+ years experience in implementing computer vision solutions.
- A strong educational background in computer science, engineering, or a related field.
- Proficiency in programming languages such as Python, C++, or similar.
- Experience with computer vision libraries and machine learning frameworks like pytorch, keras,TensorFlow.
- Experience in one or more of the following domains: Security, Biometrics, Face Recognition, Robotics and building production lines involving camera systems
- Solid understanding of machine learning concepts and algorithms.
What's On Offer
- Opportunity to earn a 5% to 10% performance-based bonus.
- Access to cutting-edge technology and ongoing learning opportunities.
If you are passionate about computer vision and are eager to bring your expertise to a leading organisation, we encourage you to apply. Take the next step in your career as a Software Engineer- Computer Vision today!
Contact: Hima Arafath
Quote job ref: JN-122025-6900702