7+ years of experience designing, implementing, and optimizing large-scale data and compute-intensive frameworks, APIs, services, and tools.
Strong skills in system design, development, testing, debugging, release, and maintenance.
Proficient in Swift, with Python experience being highly valued.
Deep understanding of automated software testing methodologies, including integration testing, component mocking, and dependency injection.
Strong attention to detail and the proven ability to delve into data, uncover hidden patterns, and conduct comprehensive error/deviation analysis.
Experience building and deploying applications with Kubernetes.
Knowledge of statistics-based evaluation approaches, ML training pipelines, and techniques for enhancing the accuracy of ML systems.
Excellent communication and leadership skills. You thrive in a collaborative team environment, are a strong problem solver, critical thinker, and self-starter.
BS/MS in Computer Science, Engineering, or a related field.
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