Specialist Data Science

Responsibilities Strong experience in computer-vision algorithms—primarily YOLO-based models—for object detection tasks. The role involves fine-tuning and retraining off-the-shelf models, as well as applying techniques like quantization and distillation to optimize models for edge deployment. Candidates should be proficient in Docker for containerizing FastAPI-based web services and publishing results to message brokers. Familiarity with Kubernetes and 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 Equal Opportunity Employer CLOUD ANALYTICS 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. CLOUD ANALYTICS 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 CLOUD ANALYTICS 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 #J-18808-Ljbffr Cloud Analytics Technologies, LLC