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.

Experience
5-8 yrs