Staff Software Engineer, AI/ML, Google Public Sector
Tasks
- Architect and operate data synthesis pipelines
- Build AI based retrieval applications
- Ensure data integrity and fault recovery
- Implement data lifecycle policies
- Lead technical direction
- Manage petabyte scale data ingestion
- Optimize ML inference workloads
- Optimize parallel numerical operations
- Provide engineering mentorship
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Cloud Native | Cloud Object Storage | Cloud-native infrastructure | Data Ingestion | Data synchronization | Deep learning | Distributed Systems | Distributed file systems | Docker | File systems | Go | Hardware optimization | High Performance | High-Performance Computing | Java | Kotlin | Kubernetes | Level optimization | Low-level optimization | ML inference | Machine Learning | Object storage | Parallel Computing | Performance Computing | Production Machine Learning | PyTorch | Python | TensorFlow
Education
Roles
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