
Visionary Computer Vision Specialist
2 weeks ago
**Job Overview:**
- Lead the development of sophisticated computer vision pipelines, encompassing object detection, instance segmentation, and industrial anomaly detection.
- Oversee major modules from conception to deployment, ensuring optimal performance and 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, including synthetic data generation and validation frameworks.
- Mentor engineers and uphold high engineering standards.
**Key Responsibilities:**
- Design and deploy computer vision systems.
- Develop expertise in multi-object tracking, object detection, semi/unsupervised 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).
**Requirements:**
- Bachelor's/Master's degree in CS, EE, or related fields with strong ML and algorithmic foundations.
- 6–10 years of experience in architecting and deploying CV systems.
- Expertise in industrial anomaly detection and semi/unsupervised learning.
- Experience with NVIDIA DeepStream, GStreamer, LLMs/VLMs, open-source contributions (optional).
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