Senior Computer Vision Engineer

Seeking a Senior Computer Vision Engineer to design, develop, and deploy state-of-the-art vision and AI systems for real-world applications. The ideal candidate combines deep expertise in computer vision, machine learning, and software engineering with experience delivering production-scale solutions.

Responsibilities:

• Architect and develop computer vision and video analytics solutions.
• Build and optimise models for object detection, segmentation, tracking, OCR, pose estimation, and anomaly detection.
• Deploy AI models to cloud, edge, and embedded platforms.
• Lead technical design and code reviews.
• Drive research-to-production adoption of the latest vision technologies.
• Build maintainable and scalable ML services and APIs.
• Optimise models and inference pipelines for latency, throughput, and memory efficiency.
• Design solutions that can handle real-world edge cases and operate reliably at scale.

Requirements:

• 5+ years of experience in Computer Vision, Machine Learning, or AI Engineering.
• Expert-level proficiency in Python, PyTorch, OpenCV, and deep learning.
• Strong experience with: Object Detection, Segmentation, Multi-Object Tracking, Video Analytics, Image Processing, Camera Geometry
• Experience with: Video analytics and temporal modelling, tracking at scale.
• Experience deploying and maintaining production-grade computer vision systems.
• Strong understanding of real-world computer vision challenges.
• Good understanding of: Vision Transformers (ViTs), Multimodal and Vision-Language Models (VLMs).
• Good to have: Docker, MLOps, ONNX, TensorRT, NVIDIA GPUs, AWS, Azure, or GCP, Browser-based deployment, Quantization techniques, GPU profiling and performance optimisation.