ML Ops Architect
Dallas, Texas, United States - Remote
R
USD 145K-200K (estimate) Senior-level Full Time
Tasks
- Collaborate in agile teams
- Deploy and manage data pipelines
- Develop and implement MLOps practices
- Implement scalable systems
- Implement security and compliance
- Leverage CI/CD practices
- Maintain documentation and guidelines
- Manage ML systems' security and governance
- Manage cloud compute resources
- Monitor and troubleshoot ML model performance
- Participate in fast iteration cycles
- Work on containerization and orchestration
Perks/Benefits
Skills/Tech-stack
APIs REST | Airflow | Best practices | CD pipelines | CI/CD | CI/CD pipelines | Cloud Architecture | Containerization | Data Pipelines | Data Privacy | Data privacy standards | Distributed Computing | GitHub | Infrastructure as Code | ML frameworks | MLflow | Model Monitoring | Orchestration | Performance Tuning | Privacy standards | Python | Security best practices | Shell Scripting | Spark | Unix Shell | Unix/Shell Scripting | Version control | Visualization Tools | “as-code”
Roles
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