Senior MLOps Engineer
Tasks
- Build internal tools and APIs
- Collaborate with data science teams on production AI
- Implement CI/CD for ML workflows
- Integrate ML artifacts into data governance frameworks
- Orchestrate ML lifecycle for LLMOps
- Scale ML deployment infrastructure
Perks/Benefits
- Career growth opportunities
- Emotional wellbeing program
- Flexible schedule
- Healthcare dental and life insurance
- Home office reimbursement
- Paid parental leave
- Paid time off
- Remote work option
- Wellness membership
Skills/Tech-stack
APIs | AWS | CI/CD | Data Catalog | Data Governance | Infrastructure as Code | Kubeflow | Kubernetes | MLOps | Observability | Python | Spark | Terraform | “as-code”
Education
N/A
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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