
Artificial Intelligence Expert
18 hours ago
Job Title:
Senior Computer Vision Engineer is responsible for leading the design and implementation of complex computer vision pipelines, including object detection, instance segmentation, and industrial anomaly detection.
- Own 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.
Key Responsibilities:
- Architect and deploy computer vision systems.
- Develop expertise in multi-object tracking, object detection, semi/unsupervised learning.
- Implement real-time, low-latency model deployment on edge devices.
- Design systems-level solutions across ML lifecycles.
- Familiarity with MLOps (CI/CD for models, versioning, experiment tracking).
Required Skills & Qualifications:
- Bachelor's/Master's degree in CS, EE, or related fields with strong ML and algorithmic foundations.
- Proficiency in Python, PyTorch/TensorFlow, Modern C++, CUDA.
- Experience with NVIDIA DeepStream, GStreamer, LLMs/VLMs, open-source contributions.
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