Computer Vision & Machine Learning Engineer
Core
Building and optimizing advanced AI-driven video analytics solutions for real-time detection, safety monitoring, and operational efficiency.
Role type
Computer Vision & Machine Learning Engineer
Builds
Real-time detection, tracking, and alerting systems using camera-based data
Domain
Computer Vision / Video Analytics / Safety Monitoring
Deliverable
production ML models
Required skills
Computer Vision, Object Detection, Model Training & Fine-tuning, Large-scale Visual Data Pipelines, Annotation Workflows, Cloud-based ML Infrastructure, Scalable Deployment Strategies
Preferred skills
Real-time video analytics, Retail monitoring, Safety/loss prevention use cases, MVP development
Technologies
YOLO, TensorFlow, Pytorch, Azure
Responsibilities
Develop, train, fine-tune, and optimize computer vision and object detection models; Support deployment and monitoring of machine learning models in production; Process and prepare large-scale visual datasets; Adapt and enhance pre-trained models for operational use cases; Build real-time detection and alerting systems; Evaluate AI/ML use cases for technical feasibility; Collaborate with cross-functional teams; Support rapid prototyping and iterative experimentation.
Seniority
Mid-Senior, hands-on IC
