
AI Reliability Engineer Leader
6 days ago
Job Summary:
We seek an experienced Engineering Manager to lead a team focused on AI feature reliability, robustness, and performance.
This team will ensure our AI-powered features operate with high precision and consistency in production environments.
The ideal candidate will have 2+ years of experience managing high-performing engineering teams, preferably in AI, ML infrastructure, or production systems.
Responsibilities:
- Team Leadership
- Build, manage, and mentor a high-performing engineering team focused on AI system reliability.
- Root Cause Analysis
- Lead efforts to detect, diagnose, and mitigate failures and degradation across AI features in production.
- Process Improvement
- Design tools, dashboards, and processes to surface anomalies, performance regressions, and edge cases.
- Cross-Functional Collaboration
- Drive cross-functional initiatives to improve monitoring, observability, and data quality.
- Data Analysis
- Oversee data analysis, annotation processes, and AI system workflows to improve model performance.
- Documentation
- Develop and maintain technical documentation for AI workflows, ensuring clarity and efficiency.
- Performance Metrics
- Monitor key AI performance metrics and implement strategies for optimization.
Requirements:
- Leadership Experience
- 2+ years of experience managing high-performing engineering teams, preferably in AI, ML infrastructure, or production systems.
- Technical Expertise
- Strong understanding of AI feature development lifecycles, data pipelines, model debugging, and post-deployment validation.
- Analytical Skills
- Proven experience with root cause analysis, reliability engineering, or debugging complex distributed systems.
- Communication Skills
- Excellent communication and leadership skills; ability to drive clarity in ambiguous environments.
Preferred Qualifications:
- Technical Proficiency
- Proficiency in Python and SQL for data processing and reporting.
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