About the role

Design, develop, and deploy state-of-the-art vision and AI systems for real-world applications — deep expertise in computer vision, ML, and software engineering at production scale.

Responsibilities

• Architect and develop computer vision and video analytics solutions

• Build and optimize models for detection, segmentation, tracking, OCR, pose estimation, anomaly detection

• Deploy AI models to cloud, edge, and embedded platforms

• Lead technical design and code reviews

• Optimize models and inference pipelines for latency, throughput, and memory

• Design solutions that handle real-world edge cases reliably at scale
  
  

Skills

• 5+ yrs in Computer Vision, ML, or AI Engineering

• Expert-level Python, PyTorch, OpenCV, deep learning

• Object detection, segmentation, multi-object tracking, video analytics, camera geometry

• Deploying and maintaining production-grade CV systems

• Vision Transformers (ViTs), multimodal / Vision-Language Models
  
  

Preferred

• Docker, MLOps, ONNX, TensorRT, NVIDIA GPUs

• AWS / Azure / GCP; browser-based deployment

• Quantization; GPU profiling and performance optimization