Principal Platform Engineer, ML
Tasks
- Build real time inference systems for production
- Collaborate on security and least privilege IAM with PII handling
- Create platform abstractions and golden paths with Airflow DAG templates and CI CD pipelines
- Design build and operate machine and data infrastructure for model training
- Develop high usability accurate feature platforms for user level features
- Evaluate integrate and rationalize ML platform tooling and lead migrations
- Implement end to end observability with tracing alerting and postmortems
- Implement low latency high accuracy feature serving and preprocessing
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Airflow | Alerting | Autoscaling | B testing | CI/CD | Canary Releases | Containers | Feature Store | GitOps | Go | IAM | Inference | Java | MLflow | Observability | PII | Postmortem | PyTorch | Python | SLO | Scikit-learn | Serverless | TensorFlow | Terraform | Tracing | XGBoost
Education
N/A
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