AI/ML Architect
Tasks
- Architect Kubernetes container platform for AI workloads
- Design production-ready AI ML architectures blueprints
- Integrate partner technology ecosystems into joint architectures
- Lead technical scoping workshops and POCs
- Optimize feedback loop into product roadmaps
- Own complex enterprise platform technical delivery
- Provide technical advisory to stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | Air-gapped | Air-gapped networks | Ansible | ArgoCD | Container Networking | Containerization | Data Sovereignty | Flux | GPU clustering | Git | GitOps | Grafana | Helm | Identity and Access Management | Identity and access | Jupyter | KServe | Kubeflow | Kubernetes | ML Model Serving | MLflow | Model Registry | Model Serving | OpenShift | OpenTelemetry | Persistent Storage | Prometheus | PyTorch | Python | Ray | Secure Architecture | TensorFlow | Terraform | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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