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. Programming Languages & Technology Stack ​

• Expert-level Python, C/C++ or similar core programming languages
• Strong experience with Py. Torch, Tensor. Flow, 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 Deep. Stream, 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. Experience handling large-scale video workloads across distributed environments. 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.