ML Ops Lead
Tasks
- Assess ML pipelines and data architecture
- Create prioritized migration plan
- Design scalable data and ML systems
- Document system design tradeoffs
- Establish MLOps patterns and practices
- Implement ML workflow fixes
- Improve data quality
- Improve observability
- Improve reliability
- Rebuild and harden production pipelines
- Upgrade data architecture
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS S3 | Airflow | Amazon Redshift | Amazon SageMaker | CI/CD | DBT | Experiment tracking | Feature Store | Looker | MLOps | Machine Learning | MongoDB | PostgreSQL | Python | SQL
Education
N/A
Regions
Countries
States
Cities
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