Senior Machine Learning/MLOps Engineer
Costa Mesa, California, United States
USD 220K-292K Senior-level Full Time
Tasks
- Add human in the loop gates and audit trails
- Architect AI ML platform stack
- Build vector databases and retrieval augmented generation
- Deploy real time and batch inference
- Develop orchestration and model serving frameworks
- Drive model drift detection retraining triggers alerting SLOs
- Implement event driven data pipelines and telemetry
- Implement model governance validation safety traceability rollback
- Implement unified data and feature stores
- Integrate OCR IDP and computer vision models
- Integrate speech to text models
- Lead design deployment monitoring lifecycle management
- Mentor engineers and data scientists establish MLOps best practices
- Translate factory scenarios into applied AI workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | Continuous integration | Data Drift | Data Modeling | Docker | Event Driven | Event-driven architecture | Feature Engineering | Feature Store | IoT | Kubernetes | MLOps | Model Governance | Model Monitoring | Model versioning | OCR | Observability | PyTorch | Python | Real Time | Real-time Systems | Retrieval-Augmented Generation | Semantic ontologies | Speech-to-Text | TensorFlow | Time Series | Time Series Data | Time Series Data Modeling | Time Systems | Vector Database
Education
N/A
Regions
Countries
States
Cities
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