Data Engineer

GENERAL RESPONSIBILITIES:

Ensures the stable, reliable, and secure operation of deployed Machine Learning (ML) models and the Model Management Platform. The role manages the end-to-end operational lifecycle of ML models, including deployment, monitoring, maintenance, incident resolution, platform support, and continuous improvement. The MLOps Specialist works closely with Data Scientists, ML Engineers, Platform Engineers,

and cross-functional teams to sustain model performance and availability in production environments.

DUTIES AND RESPONSIBILITIES:

Model Monitoring and Maintenance

● Monitor performance, health, and operational status of ML models deployed to production.

● Detect anomalies, data drift, concept drift, or degradation in prediction quality.

● Implement corrective actions or coordinate with Data Science teams for retraining or model refinement.

Incident Management

● Triage and diagnose issues affecting model...

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