T

AI Tools & Reliability Engineer

talenthop • United State
Remote
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Ensure the stability, performance, and cost-effectiveness of AI and machine learning applications. Monitor health and reliability using tools like LangSmith and OpenTelemetry while optimizing cloud infrastructure. Requires experience in AI/ML monitoring and proficiency with cloud monitoring tools like AWS CloudWatch and Azure Monitor.

Key Highlights
Focus on the health, efficiency, and cost management of AI/ML systems at scale
Directly impact the quality and reliability of AI services through monitoring and troubleshooting
Collaborate across AI/ML engineering, DevOps, and cloud teams
Key Responsibilities
Monitor health, performance, and reliability of AI/ML applications
Use AI tools including LangSmith, PromptFlow, and OpenTelemetry
Establish and maintain monitoring, logging, and alerting systems
Track AI model metrics such as performance, response time, errors, and availability
Monitor token usage and AI/API costs
Troubleshoot AI application and cloud environment issues
Create dashboards and reports for AI performance and reliability
Support AI evaluations to assess response quality and accuracy
Work with cloud monitoring tools like AWS CloudWatch and Azure Monitor
Collaborate with AI/ML engineers, DevOps, and cloud teams
Technical Skills Required
AI/ML Monitoring OpenTelemetry Cloud Monitoring
Benefits & Perks
401(k)
401(k) matching
Performance-based bonus
Fully Remote

Job Description

This is a Fully Remote Job

About Our Client:

The organization operates within the AI and machine learning industry, focusing on deploying and maintaining AI applications that require reliable performance and scalability. It addresses challenges related to the health, efficiency, and cost management of AI/ML systems at scale.

About the Opportunity:

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