Role Descriptions:
Supports stability and reliability of AI-enabled production systems by assisting with fixes| validating model behavior| and participating in root cause analysis for both application and model-related issues under guidance.
Assists in troubleshooting and resolving production issues (L1/L2)| including AI/ML model failures| data pipeline issues| and inference errors| escalating complex problems as needed to meet SLAs.
Monitors applications| AI models| and data pipelines| identifying anomalies such as model drift| data quality issues| or performance degradation| and supports implementation of preventive measures.
Contributes to problem management by documenting recurring issues| including AI model inaccuracies or failures| and assisting in root cause analysis and remediation.
Supports performance and stability of systems by implementing minor enhancements| model updates| prompt tuning (for generative AI)| or configuration fixes under supervision.
Assists with change and release activities| including model deployments| retraining updates| and configuration changes| ensuring smooth and low-risk production releases.
Collaborates with cross-functional teams| including data scientists| ML engineers| and business stakeholders| to support issue resolution and maintain service continuity.
Maintains and updates runbooks| documentation| and knowledge articles| including AI model behavior| monitoring thresholds| and troubleshooting steps.
Supports automation initiatives by identifying repetitive operational tasks and leveraging AI| scripts| or tools (e.g.| RPA| intelligent automation) to improve efficiency.
Learns and applies best practices in AI system support| including model monitoring| data governance| and responsible AI| while adhering to security and compliance standards.
Provides regular updates on assigned tasks| incidents| and AI system performance to senior team members| while continuously developing skills in AI/ML| data handling| and production support practices.
Pay: $45.00-$50.00 per hour
Work Location: Hybrid remote in Toronto, ON (Toronto District)
📌 Appian Developer With Ai Toronto
🏢 apptoza
📍 Toronto
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