Sr. Director, Machine Learning Engineering (Remote-Eligible)
Tasks
- Architect low latency event driven personalization systems
- Attract retain and develop AI engineering talent
- Define technical strategy and delivery roadmap
- Design build and operate ML infrastructure and pipelines
- Drive MLOps practices for automated deployment and governance
- Lead incident management and engineering standards
- Lead machine learning engineering organization
- Make build vs buy decisions for AI technologies
- Manage engineers and engineering leaders
- Optimize AI and LLM performance for production
- Partner cross functionally on personalization systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Azure | Batch inference | C++ | CI/CD | Databricks | Decisioning | Docker | Event Driven | Event-driven architecture | Feature Engineering | GCP | Generative AI | Golang | Java | Kubeflow | Kubernetes | LLM optimization | Low Latency | Low-Latency Systems | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Observability | Model Training | PyTorch | Python | Ranking | Real Time | Real-time Inference | Recommendation Systems | Streaming Data | TensorFlow | Vector Databases
Education
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