Senior AI Platform Engineer
Tasks
- Apply governance for reproducibility version management auditability compliance
- Automate operational workflows across AI lifecycle
- Build production AI platform capabilities
- Create automated model deployment pipelines
- Define deployment strategies for canary releases A B testing progressive rollouts
- Deploy and operate production AI systems
- Implement model evaluation frameworks
- Implement observability metrics logging tracing
- Manage versioning testing rollout and rollback
- Set up monitoring for models and inference services
- Support agentic software development lifecycle with evaluation and automation
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Agents | Audit Logging | Automation | B testing | CI/CD | Canary Releases | Containerization | Deployment Pipelines | Distributed Systems | Inference | Infrastructure as Code | Kubernetes | Logging | Machine Learning | Metrics | Model Deployment | Model Evaluation | Observability | Operational telemetry | Progressive rollouts | Release automation | Retrieval systems | Scalability | Security | Tracing | Version control | “as-code”
Education
N/A
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