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Senior Computer Vision Architect
2 weeks ago
About the Role:
- Lead the design and implementation of complex CV pipelines (object detection, instance segmentation, industrial anomaly detection) that drive business growth.
- Own key modules from concept to deployment ensuring high-quality results and efficient workflows.
- Transition algorithms from Python/PyTorch to optimized C++ edge GPU implementations using TensorRT, ONNX, and GStreamer for seamless scalability.
- Collaborate with cross-functional teams to refine technical strategies and roadmaps that align with organizational objectives.
- Drive long-term data and model strategies (synthetic data generation, validation frameworks) that enhance performance and minimize risk.
- Mentor engineers and maintain high engineering standards that foster innovation and excellence.
Key Responsibilities:
- 6-10 years of experience in architecting and deploying CV systems with a strong focus on real-time, low-latency performance.
- Expertise in multi-object tracking, object detection, semi/unsupervised learning with a proven track record of delivering results.
- Proficiency in Python, PyTorch/TensorFlow, Modern C++, CUDA with a strong understanding of system-level design thinking.
- Experience with real-time, low-latency model deployment on edge devices with a focus on MLOps (CI/CD for models, versioning, experiment tracking).
- Familiarity with NVIDIA DeepStream, GStreamer, LLMs/VLMs, open-source contributions with a passion for staying up-to-date with industry trends.
