Operate and monitor ML/AI models and agentic systems in production. Build AI observability, logging, tracing, and evaluation pipelines. Monitor LLM outputs, detect drift and model degradation, and maintain data/feature pipelines. Develop CI/CD, model versioning, experiment tracking, and automate alerts and incident remediation while collaborating with data scientists and platform teams.
Key Responsibilities AI/ML Model Operations
- Deploy, manage, and monitor machine learning and AI models in production environments.
- Implement model performance monitoring including accuracy, latency, and inference metrics.
- Detect and mitigate concept drift, data drift, and model degradation.
AI Observability
- Design and implement AI observability frameworks to track model behavior and reliability.
- Monitor LLM outputs, hallucination rates, and response quality.
- Implement logging, tracing, and evaluation pipelines for AI systems.
Agentic Systems Monitoring
- Monitor agent-based AI workflows and autonomous systems.
- Track agent actions, tool usage, decision paths, and execution outcomes.
- Implement guardrails, safety monitoring, and failure detection for AI agents.
Data Pipeline Monitoring
- Monitor and maintain data ingestion, transformation, and feature pipelines.
- Ensure data quality, schema consistency, and pipeline reliability.
- Detect and resolve pipeline failures and anomalies.
Infrastructure & Automation
- Build and maintain CI/CD pipelines for ML models and AI systems.
- Manage model versioning, experiment tracking, and reproducibility.
- Automate monitoring alerts, incident response, and remediation.
Collaboration
- Work closely with data scientists, ML engineers, platform teams, and product teams.
- Support continuous improvement of AI system reliability and governance
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Compensation, Benefits and Duration
Minimum Compensation: USD 50,000
Maximum Compensation: USD 177,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
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What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
