Senior MLOps Engineer Agentic Senior
Tasks
- Automate ML workflows
- Build MLOps versioning
- Collaborate with data engineering teams
- Collaborate with data science teams
- Design machine learning pipelines
- Enforce model governance
- Implement CI/CD for ML
- Implement machine learning pipelines
- Improve ML deployment reproducibility
- Improve model traceability
- Maintain machine learning pipelines
- Manage model lifecycle infrastructure
- Monitor model performance
- Optimize cloud cost
- Optimize cloud performance
- Provide technical leadership
- Provide technical mentoring
Perks/Benefits
- Certification support
- Continuous learning
- Hybrid work model
- Mentoring
- Online training
- Onsite training
- Training
Skills/Tech-stack
Alerting | Amazon Web Services | Apache Spark | Azure | Azure DevOps | CI/CD | Databricks | Delta Lake | Docker | GCP | GitHub Actions | Jenkins | Kubernetes | Lakehouse | Logging | MLflow | Metrics | Model Governance | Model Observability | Monitoring | Python | SQL | Web Services
Education
N/A
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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