
AI Systems Reliability Lead
2 days ago
Empowering engineering teams with innovative tools is crucial for enhancing work efficiency, productivity, and profitability.
The platform provides comprehensive visibility and control, automating tasks to minimize manual workload.
Key Responsibilities
- Lead a high-performing AI system reliability team.
- Detect diagnose and mitigate failures and degradation across AI features in production.
- Design tools dashboards and processes to surface anomalies performance regressions and edge cases.
- Drive cross-functional initiatives to improve monitoring observability and data quality.
Qualifications
- At least 2 years of experience managing high-performing engineering teams preferably in AI ML infrastructure or production systems.
- Strong understanding of AI feature development lifecycles data pipelines model debugging and post-deployment validation.
- Proven experience with root cause analysis reliability engineering or debugging complex distributed systems.
Cultivating diversity and inclusivity is one of the core values. We are an equal opportunity employer welcoming people from different backgrounds experiences abilities and perspectives.
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