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.