Arrested DevOps Machine Learning Ops With Chelsea Troy
Jan 18, 2024
Chelsea Troy, a writer specialized in Machine Learning Ops from Mozilla, discusses transitioning to ML operations and challenges in deploying models. Topics include evaluating operationalization products, balancing metrics in decision making, and navigating complexities in ML operations.
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Staff Engineering Blends Soft Skills
- Staff engineering inevitably blends technical work with management and marketing to drive product success.
- Soft skills become essential for coordinating teams and socializing changes, overshadowing pure coding.
Engineering: Knowledge Work, Not Production
- Software engineering is knowledge work, not linear production, so productivity isn't about visible output but context and optionality.
- The hardest part is understanding and socializing the problem before writing code, which is often the easiest step and comes last.
Mozilla's ML Ops Formation Story
- Mozilla historically had small teams spearheading ML production individually, leading to heroic but inefficient efforts.
- They formed an MLOps team to streamline ML model deployment and enable ethical, privacy-focused scaling.