AI System Reliability Engineer

6 hours ago

Peshawar City Tehsil, Pakistan beBeeEngineering Full time $120,000 - $180,000
About the Role

We are seeking a seasoned Engineering Manager to lead a team focused on ensuring the reliability, robustness and performance of AI features in production environments.

You will be responsible for building and growing a high-performing team of engineers and analysts focused on data analysis, debugging, root-causing production issues and identifying long tail failures and corner cases across our AI stack.

  • Build and manage a talented engineering team focused on AI system reliability.
  • Lead efforts to 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.
  • Oversee data analysis, annotation processes and AI system workflows to improve model performance.
  • Develop and maintain technical documentation for AI workflows, ensuring clarity and efficiency.
  • Monitor key AI performance metrics and implement strategies for optimization.
  • Champion a culture of ownership, rigor and continuous learning within the team.
  • Coordinate and share data insights with research groups to improve product and customer experience.
Requirements
  • 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.
  • Strong analytical mindset and ability to dig deep into data to uncover insights.
  • Experience working cross-functionally with ML researchers, product managers, customer success and support teams, and data engineers.
  • 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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