Principal Machine Learning Engineer
Tasks
- Automate machine learning workflows
- Coach and mentor junior team members
- Develop and maintain internal tools platforms and services
- Develop and maintain monitoring frameworks for model alignment with design criteria
- Develop novel metrics for model performance
- Develop process improvements
- Ensure machine learning model readiness for deployment
- Evaluate data quality security and privacy issues
- Implement machine learning models for production
- Implement version control code review and code delivery
- Integrate machine learning models into systems
- Maintain documentation for technical processes
- Monitor deployed model performance
- Perform data cleaning preprocessing and feature identification
- Provide troubleshooting and debugging support
- Scale models and ensure production quality standards
- Test and review code for bugs
- Transform machine learning prototypes into production ready models
- Troubleshoot machine learning infrastructure and workflow
Perks/Benefits
- 401k match
- Commuter benefits
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid time off
- Vision insurance
Skills/Tech-stack
Bias detection | Code review | Continuous Delivery | Continuous integration | Data Modeling | Data Preprocessing | Data Quality | Data Transformation | Data cleaning | Data extraction | Data loading | Debugging | Documentation | ETL | Fairness | Feature Engineering | Keras | Machine Learning | Machine Learning Workflow Automation | Machine learning workflow | Model Deployment | Model Monitoring | Performance Monitoring | Privacy | Programming | PyTorch | Security | TensorFlow | Troubleshooting | Version control | Workflow automation
Education
N/A
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