Computer Vision & Machine Learning Engineer
Core
Building AI-driven video analytics for operational efficiency, safety monitoring, and real-time detection in retail environments.
Role type
Senior Computer Vision & Machine Learning Engineer
Builds
Real-time detection and alerting capabilities using camera-based systems
Domain
Retail operations, safety monitoring, computer vision
Deliverable
production ML models
Required skills
Computer Vision, Object Detection (YOLO, TensorFlow, PyTorch), ML model training and fine-tuning, image and video data pipelines, annotation workflows, cloud-based ML infrastructure (Azure), scalable deployment approaches
Preferred skills
Real-time video analytics solutions
Technologies
YOLO, TensorFlow, PyTorch, Azure
Responsibilities
Develop, test, fine-tune, and optimize computer vision and object detection models; Support deployment of ML models in production or near-production environments; Analyze and process large-scale visual datasets; Build new models and adapt pre-trained models for operational use cases; Evaluate technical feasibility and prioritize AI/ML use cases; Contribute to real-time detection and alerting capabilities; Support rapid prototyping and MVP delivery
