ML Engineer, I - MLOps Framework
Tasks
- Communicate findings to stakeholders
- Debug model development workflows
- Improve tooling and documentation
- Maintain CI/CD pipelines
- Monitor pipeline health and logs
- Provide on call MLOps support
- Resolve root causes across ML stack
- Triage pipeline issues
Perks/Benefits
- 100 percent paid medical dental vision premiums
- 401k employer match
- Bonus
- Disability insurance
- Flexible schedule
- Life insurance
- Paid vacation
- Stock options
Skills/Tech-stack
AWS SageMaker | CI/CD | Debugging | Infrastructure as Code | Logging | MCAP | MLOps | Machine Learning | Monitoring | Pandas | Parquet | Pipeline Orchestration | PyArrow | PyTorch | Python | Ray | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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