
AI Reliability Lead
11 hours ago
We are seeking a seasoned reliability engineering manager to lead our AI feature reliability efforts.
This is an exceptional opportunity for a motivated professional to join our team and make a significant impact on the development and deployment of our AI-powered features.
As a reliability engineering manager, you will be responsible for driving cross-functional initiatives to improve monitoring, observability, and data quality across our AI stack.
- Key Responsibilities:
- Design and implement tools, dashboards, and processes to surface anomalies and performance regressions in our AI features.
- Lead efforts to detect, diagnose, and mitigate failures and degradation across AI features in production.
- Collaborate with data analysis teams to drive improvements in model performance and reliability.
- Develop and maintain technical documentation for AI workflows, ensuring clarity and efficiency.
Requirements:
- Strong understanding of AI feature development lifecycles, data pipelines, and model debugging.
- Proven experience with root cause analysis, reliability engineering, or debugging complex distributed systems.
- Excellent communication and leadership skills; ability to drive clarity in ambiguous environments.
- Proficiency in Python and SQL for data processing and reporting.
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