Analyst/Senior Analyst/Lead Analyst - AI Operations

Symphoni HR Pvt Ltd.; Pune District, Chennai District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Symphoni HR Pvt Ltd. in Pune seeks an AI/ML Operations specialist to monitor AI/ML-enabled processes daily, flag drift and output-quality issues against thresholds.

You will perform first-line investigations of model/data anomalies, route to owners, and support escalation workflows while maintaining an audit trail. The role emphasizes automation, dashboards, and incident monitoring within SLA.

Responsibilities

• AI / ML Operations (core focus) Monitor AI/ML-enabled operational processes daily; flag drift, anomalies and output-quality degradation against defined thresholds.
• Perform first-line investigation of model/data anomalies and route to the correct owner (Model Risk, Data Science, Engineering, Risk).
• Support the human-review and escalation workflow for AI-flagged exceptions, maintaining a clean audit trail.
• Contribute to tuning of alerting logic and thresholds as model behaviour and data patterns evolve.
• Automation & Tooling – Build and maintain automated alerts, dashboards and scripts that reduce manual monitoring and reconciliation effort.
• Identify recurring manual tasks and propose/build automation, working with the Lead Analyst to prioritize.
• Maintain and enhance existing automation/scripts as upstream systems and data feeds change.
• Monitoring & Incident Support – Monitor batch, interface and application health for CCR/exposure systems; investigate exceptions within SLA.
• Support incident management: log, triage severity, coordinate with Engineering, and contribute to RCA for recurring issues.
• Track and report incident/SLA metrics for the processes owned.
• CCR & Risk Context (supporting knowledge) – Apply working understanding of exposure, EPE/PFE, limits and collateral concepts to sense-check monitoring outputs and reconciliation breaks.
• Review trade, market-data, counterparty and collateral reconciliation breaks between upstream and downstream systems as part of anomaly triage.

Job description

• AI / ML Operations (core focus) Monitor AI/ML-enabled operational processes daily; flag drift, anomalies and output-quality degradation against defined thresholds.
• Perform first-line investigation of model/data anomalies and route to the correct owner (Model Risk, Data Science, Engineering, Risk).
• Support the human-review and escalation workflow for AI-flagged exceptions, maintaining a clean audit trail.
• Contribute to tuning of alerting logic and thresholds as model behaviour and data patterns evolve.

• Automation & Tooling – Build and maintain automated alerts, dashboards and scripts that reduce manual monitoring and reconciliation effort.
• Identify recurring manual tasks and propose/build automation, working with the Lead Analyst to prioritize.
• Maintain and enhance existing automation/scripts as upstream systems and data feeds change.

• Monitoring & Incident Support – Monitor batch, interface and application health for CCR/exposure systems; investigate exceptions within SLA.
• Support incident management: log, triage severity, coordinate with Engineering, and contribute to RCA for recurring issues.
• Track and report incident/SLA metrics for the processes owned.

• CCR & Risk Context (supporting knowledge) – Apply working understanding of exposure, EPE/PFE, limits and collateral concepts to sense-check monitoring outputs and reconciliation breaks.
• Review trade, market-data, counterparty and collateral reconciliation breaks between upstream and downstream systems as part of anomaly triage.