Machine Learning Operations Engineer II
Tasks
- Build automated end to end machine learning pipelines
- Deploy machine learning models to production
- Document technical processes and operational procedures
- Establish monitoring, logging, and alerting
- Evaluate emerging technologies for infrastructure upgrades
- Implement Continuous Integration and Continuous Deployment
- Monitor machine-learning models in production
- Operationalize machine learning models for production readiness
- Optimize system architecture for scalability uptime and cost
Perks/Benefits
Skills/Tech-stack
Alerting | Apache Airflow | Continuous Deployment | Continuous integration | Kafka | Logging | MLOps | Machine Learning | Monitoring | Python | Spark
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