Senior AI Platform Engineer
Tasks
- Build CI CD versioning and deployment frameworks
- Design internal tools APIs and abstractions
- Drive MLOps and LLMOps best practices
- Ensure observability reliability and performance in production
- Evolve ML platform infrastructure
- Improve developer experience
- Integrate ML systems with governance catalog and privacy
- Standardize production grade AI workflows
Perks/Benefits
- Career development
- Dental insurance
- Flexible schedule
- Health insurance
- Home office support
- Internal mobility
- Learning resources
- Life insurance
- Mental health support
- Paid parental leave
- Paid time off
- Remote-first work
- Wellness membership
Skills/Tech-stack
API Design | AWS | Apache Spark | CI/CD | Crossplane | Data Governance | Data Privacy | Distributed Systems | Infrastructure as Code | Kubeflow | Kubernetes | LLMOps | MLOps | Observability | Python | Terraform | “as-code”
Education
N/A
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