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Apple AIML - Quality Engineering Manager Data Operations United States, California, Cupertino 461822794
Today
- 7+ years of experience in data quality, quality engineering, or a related field, including 2+ years in a management or leadership role.
- Extraordinary leadership, communication, and organizational skills.
- Meticulous, strong analytical and problem-solving skills
- Knowledge of data quality concepts, challenges, and best practices
- Proven track record of driving process improvements and managing multi-functional initiatives.
- Experience with AI/ML/LLM. Familiarity with ML model development cycles and the role of human-labeled data in training and evaluation.
- Experience with large-scale data operations or data-centric ML infrastructure.
- Knowledge of data quality standards, frameworks, and governance best practices.
- Experience designing and implementing automated QA checks and quality monitoring systems.
- Strong data analysis skills; experience with scripting languages (e.g., Python) and data tools (e.g., SQL).
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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