Sr Machine Learning Engineer, Compliance
San Jose, California, United States
USD 223K-268K Senior-level Full Time
Tasks
- Apply explainability methods for regulatory review
- Build feature pipelines and model serving
- Collaborate with compliance and legal for model governance
- Create evaluation frameworks for model quality
- Design and deploy compliance machine learning models
- Develop experiment tracking and model registries
- Implement model monitoring, drift detection, and retraining
- Integrate LLM capabilities into compliance workflows
- Review feature logic for production readiness
- Use LLM assisted development for automation
Perks/Benefits
- Comprehensive healthcare
- Education subsidy
- Learning and development support
- Meal allowance
- Wellness allowance
Skills/Tech-stack
Anomaly Detection | Batch data | Batch data pipelines | CI/CD | Data Pipelines | Databricks | Drift Detection | Experiment tracking | Feature Engineering | Graph Neural Networks | Hadoop | LIME | LLM | LLM-assisted development | MLOps | Machine Learning | MaxCompute | Model Deployment | Model Drift | Model Drift Detection | Model Governance | Model Monitoring | Model Registry | Neural Networks | Python | Real Time | Real-time Data | Real-time data pipelines | SHAP | Spark | Supervised Learning | Unsupervised Learning
Education
N/A
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