AI Systems Engineering Leader

5 days ago

Sargodha, Punjab, Pakistan beBeeEngineering Full time 18,000,000 - 24,000,000

Motive is a platform that empowers people who run physical operations with tools to make their work safer, more productive and more profitable. The platform provides complete visibility and control over drivers, vehicles, equipment, and fleet-related spend, reducing manual workloads by automating and simplifying tasks.

The platform serves more than 100,000 customers across various industries including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

This role requires an experienced and impact-driven engineering manager to lead a team focused on AI system reliability robustness and performance. The team will play a critical role in ensuring 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 focused on data analysis debugging root-causing production issues and figuring out the long tail of failures and corner cases across the AI stack.

Responsibilities include:

  • Building managing and mentoring a high-performing engineering team focused on AI system reliability
  • Leading efforts to detect diagnose and mitigate failures and degradation across AI features in production
  • Designing tools dashboards and processes to surface anomalies performance regressions and edge cases
  • Driving cross-functional initiatives to improve monitoring observability and data quality
  • Overseeing data analysis annotation processes and AI system workflows to improve model performance
  • Developing and maintaining technical documentation for AI workflows ensuring clarity and efficiency
  • Monitoring key AI performance metrics and implementing strategies for optimization
  • Championing a culture of ownership rigor and continuous learning within the team
  • Actively coordinating and sharing data insights with research groups to improve product and customer experience

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