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Generative AI Monitoring and Reliability Manager
Oversee system health, troubleshoot anomalies, and implement reliability benchmarks to ensure dependable AI tools for education.
About Reality AI Lab
Reality AI Lab is advancing open-source AI tools that empower global education and career growth. Our mission is to develop AI Agents that support educators and learners worldwide, beginning with Marvel AI (an AI Teaching Assistant) and Sky AI (an AI Career Coach). Our tools are designed to make education more accessible and provide career-focused solutions that help people thrive.
Role Overview
We are seeking a Generative AI Monitoring and Reliability Manager to oversee and ensure the performance, reliability, and stability of our Generative AI models. In this role, you’ll be responsible for implementing monitoring processes, detecting system anomalies, and continuously improving the reliability of our AI tools. This position is ideal for someone with experience in AI system monitoring, performance optimization, or reliability engineering, who is passionate about maintaining high-quality and dependable AI solutions.
Key Responsibilities
- System Monitoring and Performance Management: Oversee the operational health of Generative AI models, tracking performance indicators to ensure consistent and stable functionality across various educational applications.
- Anomaly Detection and Troubleshooting: Develop and implement processes for identifying and resolving deviations, bugs, or unusual system behaviors, working quickly to address issues to minimize user impact.
- Reliability and Uptime Optimization: Set and maintain benchmarks for uptime and reliability, establishing protocols that maximize system stability and ensure consistent access for users.
- Continuous Improvement: Collaborate with developers and data scientists to implement feedback loops and enhance model reliability based on monitoring insights, performance data, and user feedback.
- Documentation and Reporting: Maintain comprehensive records of monitoring practices, system performance metrics, and troubleshooting protocols, providing regular reliability reports to stakeholders.
Requirements
- Experience in AI System Monitoring or Reliability Engineering: Background in system monitoring, reliability engineering, or operations, preferably within AI or machine learning environments.
- Proficiency with Monitoring Tools: Familiarity with monitoring and reliability tools such as Grafana, Prometheus, or similar platforms to track AI performance metrics effectively.
- Strong Analytical and Troubleshooting Skills: Skilled in identifying, analyzing, and resolving performance issues within complex AI systems, with a focus on enhancing reliability and uptime.
- Attention to Detail: High level of attention to system accuracy, with an ability to detect subtle performance changes or deviations that could impact user experience.
- Communication and Documentation Skills: Ability to document procedures, create detailed reports, and communicate insights effectively to development and operations teams.
- Commitment to Continuous Improvement: Passion for refining monitoring practices, ensuring the best possible AI system performance, and supporting the educational mission of Reality AI Lab.
Additional Information
- Commitment: Part-time, unpaid open-source contribution role with flexible scheduling.
- Duration: 1-6 months, remote work setup.
- Diversity and Inclusion: Reality AI Lab is an equal opportunity organization, committed to fostering a diverse and inclusive environment.
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