Job Description

• Strong experience in computer-vision algorithms—primarily YOLO-based models for object detection tasks.
• The role involves fine-tuningand retrainingoff-the-shelf models, as well as applying techniques like quantizationand distillationto optimize models for edge deployment.
• Candidates should be proficient in Dockerfor containerizing FastAPI-based web services and publishing results to message brokers.
• Familiarity with Kubernetesand Google Cloud Platform is essential for operating within our production architecture.
• Experience in Python, Typescript, and scalable architectures is preferred.

Top Skills Needed:

• Experience with YOLO-based models and ML frameworks

QUANTUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. QUANTUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will QUANTUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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