We are looking for a highly skilled AI/ML Engineer and Machine Learning to design, develop, and implement AI-driven solutions that enhance our products and services in the Retail Theft Prevention domain.
Must have experience in building models for edge deployment for camera-based object detection and classification.
Responsibilities
- Design and implement real-time object detection, tracking, and classification solutions using machine learning and computer vision techniques.
- Optimize models for real-time processing on various platforms, including edge devices, cloud-based systems, and embedded hardware, ensuring low-latency performance.
- Develop and manage end-to-end machine learning pipelines to automate and optimize data curation, preprocessing, and model training workflows.
Qualifications:
- Master's degree (preferred) in CS, CE, ML or related field experience
- Experience working with MobileNetV2 and YOLOv8 models.
- Experience programming in Python (preferred) or C/C
- Experience with deep learning frameworks like PyTorch or TensorFlow.