Senior Technical Lead AI Reliability

18 hours ago

Multan, Punjab, Pakistan beBeeEngineering Full time $200,000 - $250,000

Our organization seeks an accomplished Engineering Manager to lead a team focused on ensuring the reliability and robustness of AI features.

This team plays a critical role in guaranteeing our AI-powered features operate with high precision and consistency in production environments.

The successful candidate will be responsible for building and growing a team of engineers and analysts working on data analysis, debugging, root-causing production issues, and identifying corner cases across our AI stack.

Responsibilities:
  • Lead a high-performing engineering team focused on AI system reliability
  • Develop strategies to detect, diagnose, and mitigate failures and degradation across AI features in production
  • Design tools and dashboards 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 enhance model performance
  • Develop and maintain technical documentation for AI workflows, ensuring clarity and efficiency
  • Monitor key AI performance metrics and implement optimization strategies
  • Champion a culture of ownership, rigor, and continuous learning within the team

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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