Senior ML Ops / LLM Ops Engineer
Tasks
- Add safety abuse classification for inbound content
- Build ML LLM ingestion pipeline for production traffic
- Build autoraters and LLM classifiers
- Create slicing dashboards for production debugging
- Define dashboard architecture and hosting selection
- Design storage tiering and retention policies
- Implement PII redaction at ingestion boundary
- Implement rule based triage for failures
- Operate pipeline reliability with monitoring and on call
- Run eval mining workflow
- Wire regression alerts to model and prompt deployments
Perks/Benefits
Skills/Tech-stack
AWS | Access Control | Azure | Clustering | DVC | Data Governance | Data Versioning | Delta Lake | Embeddings | GDPR | LLM Evaluation | LLM tracing | LakeFS | Language Models | Large Language Models | Machine Learning | Observability | On-Call | PII Redaction | Python | Regression Alerts | Retrieval-Augmented Generation | SQL | Schema management | TypeScript | Vector Databases
Education
N/A
Roles
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