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Senior Computer Vision Systems Architect
2 weeks ago
**Job Opportunity:**
We are seeking a skilled Computer Vision Specialist to lead the design and implementation of sophisticated CV systems. The ideal candidate will possess expertise in multi-object tracking, object detection, and semi-supervised learning.
The successful specialist will:
- Develop major modules from concept to deployment ensuring low latency and high reliability.
- Transition algorithms from Python/PyTorch to optimized C++ edge GPU implementations using TensorRT, ONNX, and GStreamer.
- Collaborate with cross-functional teams to refine technical strategies and roadmaps.
- Drive long-term data and model strategies (synthetic data generation, validation frameworks).
- Mentor engineers and maintain high engineering standards.
**Requirements and Qualifications:**
- 6-10 years of experience in architecting and deploying CV systems.
- Expertise in multi-object tracking, object detection, semi-supervised learning.
- Proficiency in Python, PyTorch/TensorFlow, Modern C++, CUDA.
- Experience with real-time, low-latency model deployment on edge devices.
- Strong systems-level design thinking across ML lifecycles.
- Familiarity with MLOps (CI/CD for models, versioning, experiment tracking).
- Bachelor's/Master's degree in CS, EE, or related fields with strong ML and algorithmic foundations.
**Why This Role Matters:**
This role offers an exciting opportunity to leverage your expertise in computer vision and machine learning to drive innovation and excellence in our organization.
