Executive Director Machine Learning Engineer-MLOps
Palo Alto, CA, United States
USD 217K-260K (estimate) Executive-level Full Time
Tasks
- Build deploy maintain distributed training pipelines
- Collaborate cross functional teams integrate new technologies
- Deploy large language models for inference
- Develop real-time and batch inference systems
- Establish monitoring and observability pipelines
- Implement quantization techniques
- Manage optimize vector databases
- Partner define scalable performant technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Autoscaling | CUDA | Caching | Docker | GPU | Hyperparameter Tuning | Kubernetes | Monitoring | Observability | Python | Quantization | Ray | Reinforcement Learning | Transformers | VLLM | Vector Databases
Education
Regions
Countries
States
Cities
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