Visionary Computer Vision Architect
6 days ago
Company Overview
Quidich Innovation Labs is a pioneering global company based in Mumbai, India. The organization specializes in crafting customized technology solutions for Sports Broadcasts. They believe in harnessing the power of sports storytelling to unite people worldwide.
Achieving Success
The position requires a seasoned Computer Vision Tech Architect with expertise in designing and implementing cutting-edge computer vision systems. This role involves overseeing architectural aspects, defining technical visions, and aligning them with organizational objectives. Professionals in this field must possess a deep understanding of computer vision principles, machine learning, software engineering, and leadership skills to drive innovative solutions.
Technical Responsibilities
- Leading Technical Architecture: Oversee a team of computer vision engineers and developers, providing technical guidance, mentoring, and fostering a collaborative environment. Drive the technical vision and strategy for computer vision projects, focusing on 3D object detection and multiple-camera feed processing.
- 3D Object Detection Expertise: Leverage expertise in 3D object detection algorithms and methodologies to design and implement advanced solutions. Collaborate with the research team to integrate the latest advancements in 3D object detection into practical, scalable applications.
- Efficient Multiple Camera Feed Processing: Design and implement systems for real-time processing and analysis of multiple cameras feeds. Optimize algorithms and workflows to handle large-scale data from diverse camera sources.
- Tech Architecture Development: Develop and implement the overall technical architecture for computer vision systems, ensuring scalability, reliability, and performance. Collaborate with cross-functional teams to integrate computer vision components into larger systems. Knowledge and experience in selecting, configuring, and optimizing hardware for efficient computer vision processing.
- Broadcast Software Integration: Demonstrate experience working with broadcast software and understand the unique challenges and requirements of the broadcast industry. Seamlessly integrate computer vision solutions with broadcast systems, ensuring compatibility and adherence to industry standards.
- Modular System Design: Apply a modular and scalable approach to system design, breaking down complex tasks into manageable and reusable modules. Conduct thorough module-level thinking to enhance system flexibility, maintainability, and ease of future enhancements.
- Hardware Acceleration Optimization: Evaluate and implement hardware acceleration solutions, such as GPUs or specialized processors, for optimizing computer vision algorithms. Collaborate with hardware engineers to ensure seamless integration between software and hardware components.
- Research and Development Contributions: Stay abreast of the latest trends, research, and advancements in computer vision, particularly in the domains of 3D object detection and camera feed processing. Contribute to R&D efforts to explore and implement innovative solutions, considering hardware constraints and opportunities.
- Effective Communication and Collaboration: Collaborate with cross-functional teams, including 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.
Required Skills and Qualifications
- 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, and 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.
Salary Range: ₹50 lakhs - ₹70 lakhs per annum
Location: Mumbai
Reporting To: Chief Product Officer
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