Build products based on real-time video, audio, and data streams.
Translate research into production services with high performance and low latency.
Collaborate with AI researchers to push descriptive/generative video and audio models.
Maintain high code quality and best software practices.
Define deployment practices for Python microservices integrating GenAI models.

🎯 Requirements

Strong Python experience (async, multiprocessing, profiling, tuning).
Video streaming / real-time systems (GStreamer, WebRTC, RTSP).
Messaging systems (RabbitMQ, Kafka).
GPU acceleration and hardware optimization.
Debugging in high-performance systems.
Cloud deployment on-premises (AWS, Azure).

🎁 Benefits

Model performance optimization (TensorRT, ONNX).
ML/AI frameworks (PyTorch), OpenCV.

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