Related skills
tensorflow pytorch mlops model deployment content safety📋 Description
- Define & drive ML strategy for safety, policy enforcement, and compliance.
- Build and scale ML systems for detection, classification, and risk across content.
- Develop automated decisioning to ensure consistent policy enforcement.
- Design real-time, large-scale content evaluation systems.
- Collaborate with product, policy, and safety teams to operationalize standards.
- Mentor engineers and shape technical direction across teams.
🎯 Requirements
- Strong experience building production-grade ML systems at scale.
- Experience with PyTorch, TensorFlow, or similar frameworks.
- Systems where ML outputs influence real-world decisions.
- Balance automation with safety and user experience.
- Comfortable solving complex, ambiguous problems with high impact.
- Clear communication across technical and non-technical teams.
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