ML Ops / Embedded Systems Expert Engineer

PureLogics is looking for an experienced ML Ops/Embedded Systems expert Engineer.

Responsibilities:

Help to build edge AI theft deterrence software from scratch to supplement existing AI theft detection systems

Help to build future iterations of the edge AI theft deterrence system

Experiment with and deploy off-the-shelf and custom ML and AI models for theft detection/deterrence

Work closely with cross-functional teams to ensure seamless integration of the edge AI theft deterrence prototype into existing security and surveillance systems.

Analyze data generated by the edge AI theft deterrence system to identify patterns, trends, and potential areas for improvement.

Implement optimization strategies based on data insights to enhance the efficiency and accuracy of theft detection algorithms.

Create comprehensive documentation for the developed AI models, algorithms, and system architecture.

Design and execute rigorous testing procedures to validate the effectiveness of the edge AI theft deterrence system under various scenarios.

Implement a continuous evaluation process to identify potential vulnerabilities or weaknesses in the system and proactively address them

Requirements:

Must to have: Embedded systems experience,ML Ops,worked with camera security related stuff

Need to have: Python, Unix/Linux skills

Need to have: Very smart, reliable, self-starter, independent and an excellent problem solver

Nice to have: 5+ years of minimum total experience

Nice to have: 2+ year of start up experience

Nice to have: Edge devices at scale, Computer vision or machine learning, Dev Ops,, Network engineering, video systems/engineering, entrepreneurial or work on side-projects or programming after hours