Senior AI/ML Ops Engineer - New York / Jersey City
Tasks
- Automate monitoring alerts incident response and remediation
- Build and maintain CI/CD pipelines for ML models
- Deploy machine learning models in production
- Detect and resolve pipeline failures and anomalies
- Detect concept drift and data drift
- Ensure data quality schema consistency pipeline reliability
- Implement AI observability frameworks
- Implement guardrails and safety monitoring for AI agents
- Implement logging tracing and evaluation pipelines
- Manage model versioning and experiment tracking
- Monitor LLM outputs hallucination rates response quality
- Monitor agent based AI workflows
- Monitor data ingestion transformation and feature pipelines
- Monitor model performance accuracy latency inference
- Support AI system reliability and governance
- Track agent actions tool usage decision paths
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Automation | CI/CD | Concept drift | Data Drift | Data Ingestion | Data Quality | Evaluation | Experiment tracking | Incident Response | LLM monitoring | Logging | MLOps | Machine Learning | Model Monitoring | Model Observability | Model versioning | Schema Validation | Tracing
Education
N/A
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