Senior Manager, Data & AI Platform
Tasks
- Abstract underlying compute orchestration engines
- Build unified AI ML workflows
- Define multi-year platform roadmap
- Design observability stacks for model and training health
- Develop APIs and SDKs for AI ML pipelines
- Enable dataset feature engineering model training evaluation and deployment workflows
- Hire mentor and develop engineers
- Implement versioned workflows lineage and reproducibility
- Lead data systems integration
- Provide governance and guardrails for AI ML models
Perks/Benefits
Skills/Tech-stack
APIs | Airflow | Argo Workflows | Compute Orchestration | Data pipeline | Data pipeline orchestration | Distributed Training | Docker | Experiment tracking | Feast | Feature Store | Flyte | GPU infrastructure | Hugging Face | Java | Kubeflow | Kubernetes | MLOps | MLflow | Metaflow | Model Registry | Monitoring | Pipeline Orchestration | PyTorch | Python | Ray | SDKs | SLI | SLO | SQL | SageMaker | Spark | TensorFlow | Vertex AI | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Platform Manager | Data Platform | Data Platform Manager | MLOps Manager | Manager | Platform Manager | Senior Manager
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