Tech Lead, Google Kubernetes Engine AI Platform
Seattle, WA, USA; Kirkland, WA, USA
USD 207K-301K Senior-level Full Time
Tasks
- Drive AI platform innovation
- Engage with customers on GKE and GCP
- Identify gaps in GKE stack
- Improve GKE AI ML infrastructure reliability
- Improve infrastructure efficiency and scale
- Lead technical direction for workload efficiency
- Optimize GKE AI ML workloads
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Cloud Computing | Cloud platform | Data Storage | Data analytics | Distributed Systems | GPU Computing | Google Cloud | Google Cloud Platform | Kubernetes | Kubernetes Engine | Language Processing | Large-scale | Large-scale Systems | Machine Learning | Model Tuning | Natural Language | Natural Language Processing | Networking | Scale systems | TPU Computing
Education
Roles
Regions
Countries
States
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