Customer Engineer, Public Sector, Google Cloud
Tasks
- Architect LLM deployments
- Bridge on premises HPC and cloud AI services
- Harden inference endpoints
- Implement model weight security
- Investigate AI security threats
- Maintain consistent security posture
- Manage LLM deployments on premises and cloud
- Map security test findings to MITRE ATLAS
- Map security test findings to OWASP for LLMs
- Map security test findings to STRIDE
- Mitigate data poisoning
- Mitigate jailbreaking
- Mitigate prompt injection
- Optimize GPU utilization
- Orchestrate inference and training environments
- Secure data ingestion
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | Data poisoning | Docker | GPU | High Performance | High-Performance Computing | High-Performance Computing (HPC) | Hugging Face | Hugging Face Transformers | Jailbreaking | Kubernetes | LLM Deployment | Language Models | Large Language Models | MITRE ATLAS | Machine Learning | Machine Learning Operations | Machine Learning Operations MLOps | OWASP | On-Premises | Prompt injection | PyTorch | Python | STRIDE | TensorFlow | Vector Databases
Education
Regions
Countries
States
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