Technical Visionary for Computer Vision Systems
15 hours ago
At Qweens, we are committed to pushing the boundaries of innovation in computer vision. We are seeking an exceptional Technical Visionary for Computer Vision Systems to spearhead this mission.
Responsibilities- Lead the development of advanced computer vision systems
Define technical vision, drive project strategy, and oversee the architectural aspects of computer vision projects.
This includes developing and implementing technical architectures, collaborating with cross-functional teams, and leveraging expertise in computer vision principles, machine learning, and software engineering.
- Drive innovation through research and development
Stay up-to-date with the latest advancements in computer vision, particularly in 3D object detection and camera feed processing.
Contribute to R&D efforts, exploring innovative solutions, and considering hardware constraints and opportunities.
- Collaborate with cross-functional teams
Collaborate with hardware engineers, software developers, and researchers to ensure seamless integration of computer vision components.
Communicate technical concepts effectively to both technical and non-technical stakeholders.
- Oversee the development of technical architectures
Develop and implement end-to-end technical architectures for computer vision systems, ensuring scalability, reliability, and performance.
Collaborate with cross-functional teams to integrate computer vision components into larger systems.
Evaluate and implement hardware acceleration solutions, such as GPUs or specialized processors, for optimizing computer vision algorithms.
Requirements- Bachelor's/Master's/Ph.D. degree in Computer Science, Electrical Engineering, or a related field
- 5-6 years of hands-on experience in computer vision, with a focus on 3D object detection and multiple-camera feed processing.
- Total 8-10 years experience, 3-4 years leading the technical architecture setup in a CV organization.
- Must know End-to-end technical architecture, Triangulation, 3D object detection, broadcast experience, and multi-camera feed processing.
- Proven experience in designing and implementing technical architectures for computer vision systems.
- Strong programming skills in languages such as Python, C++, and familiarity with relevant frameworks (OpenCV, TensorFlow, PyTorch).
- Experience with hardware acceleration, GPU programming, and parallel computing.
- Knowledge of hardware selection, configuration, and optimization for computer vision processing.
- Previous experience in a leadership or architecture role is a plus.
- Experience working with broadcast software and understanding of the broadcast industry's unique requirements.
Estimated Salary: ₹1,500,000 per annum
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