AVP, Model Ops Engineer (L10)
Hyderabad IN, India
INR 3000K-3300K (estimate) Executive-level Full Time
Tasks
- Build scalable real time and batch monitoring architectures
- Create dashboards for model health and stability
- Design data pipelines for model monitoring
- Develop reusable monitoring components
- Implement model performance tracking alerting and back testing
- Ingest transform and version monitoring datasets
- Integrate pipelines with MLOps tools and observability
- Maintain data lineage audit trails and documentation
- Optimize storage and compute for high frequency scoring
Perks/Benefits
Skills/Tech-stack
AWS | Alerting | Amazon Redshift | Apache Airflow | Apache Spark | Audit trails | Automation | Azure | Batch Processing | Cloud platform | DBT | Data Engineering | Data Lineage | Data Processing | Data Versioning | Data Warehousing | Diagnostic logging | Evidently AI | Google BigQuery | Google Cloud | Google Cloud Platform | Kafka | MLOps | MLflow | Model Monitoring | Model risk | Model risk governance | Observability | Prometheus | PySpark | Python | Real Time | Real-time Data | Real-time Data Processing | Risk governance | SAS | SQL | Snowflake | WhyLabs
Roles
Data Engineer | Engineer | MLOps Engineer | Model Ops Engineer | Ops Engineer
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