Python Vision AI Architect

We are looking for a Vision AI Architect to lead the design and implementation of large-scale Vision AI platforms and solutions. The role requires deep expertise across the entire video and vision lifecycle: capture encoding transcoding transport preprocessing model development training deployment scaling application integration and production operations. You will define reference architectures guide engineering teams and lead customer engagements from solution discovery through deployment.

Expert-level Python C/C or similar core programming languages

Strong experience with PyTorch TensorFlow OpenCV CUDA NVIDIA ecosystem and AI acceleration frameworks.

Understanding of microservices REST APIs containerization and distributed systems.

Requirements

Video Systems Media Processing & Streaming Architecture

Deep expertise in video capture ingestion encoding transcoding packaging streaming storage and distribution.

Strong understanding of video codecs and standards: H.264 H.265/HEVC AV1 MPEG-TS MP4 RTSP RTP WebRTC SRT HLS DASH.

Hands-on experience designing scalable video pipelines using FFmpeg GStreamer NVIDIA DeepStream or equivalent frameworks.

Experience with edge-to-cloud video transportation architectures and low-latency streaming systems.

Knowledge of video quality optimization bitrate adaptation frame extraction synchronization and metadata management.

Model Development Training & Optimization

Experience building and training production-grade vision models on custom datasets.

Deep understanding of dataset design annotation strategies augmentation transfer learning and active learning.

Model optimization using TensorRT ONNX Runtime quantization pruning and GPU acceleration.

Experience deploying models across edge cloud and hybrid environments.