Senior Technical Lead

2 days ago

Peshawar City Tehsil, Pakistan beBeeReliability Full time $180,000 - $230,000
Job Title: Engineering Manager, AI Reliability

A leading organization empowers the people who run physical operations with innovative tools to make their work safer, more productive and profitable. They provide a platform that gives complete visibility and control over drivers, vehicles, equipment and fleet-related spend, automating and simplifying tasks.

About the Role:

You will lead a team focused on the reliability, robustness and performance of AI features and services. This team will play a critical role in ensuring AI-powered features operate with high precision and consistency in production environments.

Key Responsibilities:

  • Build, manage and mentor a high-performing 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.
  • Actively coordinate and share data insights with research groups to improve product and customer experience.

Requirements:

  • 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.

This organization is committed to creating a diverse and inclusive workplace.

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