
Visionary AI Pipeline Architect
16 hours ago
We are seeking an accomplished Senior Computer Vision Engineer to spearhead the design and implementation of sophisticated CV pipelines. The ideal candidate will have 6-10 years of experience in architecting and deploying CV systems, with expertise in multi-object tracking, object detection, semi/unsupervised learning, and proficiency in Python, PyTorch/TensorFlow, Modern C++, CUDA.
Key Responsibilities:
- Develop and implement complex CV pipelines for object detection, instance segmentation, and industrial anomaly detection.
- Owning major modules from concept to deployment, ensuring low latency and high reliability.
- Transitioning algorithms from Python/PyTorch to optimized C++ edge GPU implementations using TensorRT, ONNX, and GStreamer.
- Collaborating with cross-functional teams to refine technical strategies and roadmaps.
- Driving long-term data and model strategies, including synthetic data generation and validation frameworks.
- Mentoring engineers and maintaining high engineering standards.
Required Skills & Qualifications:
- 6-10 years of experience in architecting and deploying CV systems.
- 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).
- Bachelor's/Master's degree in CS, EE, or related fields with strong ML and algorithmic foundations.
- (Preferred) Experience with NVIDIA DeepStream, GStreamer, LLMs/VLMs, open-source contributions.
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