advanced Python concepts such as asynchronous and concurrent programming, generators, higher-order abstractions, Pydantic and Pyspark
building scalable services and pipelines for ML use cases in Production
Deep systems knowledge, including comfort operating in and debugging Unix/Linux environments, fluency with command-line tooling, and understanding of practical networking fundamentals
distributed systems concepts, including concurrency, fault tolerance, and performance tradeoffs