Senior ML Ops / LLM Ops Engineer
Tasks
- Add safety and abuse classification
- Build ML LLM ingestion pipeline
- Build rule based triage layer
- Create slicing dashboards and query tooling
- Define dashboard architecture and wipeout mechanisms
- Enable autoraters and LLM classifiers
- Implement PII redaction at ingestion
- Implement data storage tiering
- Implement eval mining workflow
- Operate ML LLM pipeline reliability
- Set up regression alerts for model and prompt deploys
Perks/Benefits
- Coffee
- Fruits
- Health insurance
- Life insurance
- Permanent contract
- Personal Smartphone
- SIM Card
- Snacks
- Social events
- Team building
- Tech equipment
- Training
Skills/Tech-stack
AWS | Alerting | Anthropic | Azure | DVC | Data Governance | Data Versioning | Delta Lake | Embeddings | GDPR | LLM API | LakeFS | Learning evaluation | Machine Learning | Machine learning evaluation | Model Regression | Model Regression Testing | Observability | On-Call | OpenAI | PII Redaction | Python | Regression testing | Retrieval-Augmented Generation | SQL | Safety Classification | Tracing | TypeScript | Vector Databases
Education
N/A
Roles
Engineer | LLM Ops Engineer | ML Ops Engineer | Ops Engineer
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