Principal Machine Learning Engineer
Tasks
- Automate machine learning workflows
- Build monitoring infrastructure for deployed models
- Collaborate with stakeholders on technical decisions
- Develop and maintain internal tools platforms and services
- Ensure model readiness for deployment
- Evaluate data quality bias fairness security privacy
- Implement machine learning models for production
- Implement version control code review and code delivery deployment best practices
- Integrate machine learning models into systems
- Maintain familiarity with machine learning research and industry trends
- Perform data cleaning preprocessing and feature identification
- Proactively monitor model performance
- Productionize machine learning prototypes
- Scale models and ensure production quality standards
- Test and review code for bugs
- Troubleshoot machine learning infrastructure and workflows
- Write and maintain technical documentation
Perks/Benefits
- 401k match
- Adoption Assistance
- Dental insurance
- Health insurance
- Life insurance
- Paid Holidays
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
Code review | Continuous Delivery | Continuous integration | Data Preprocessing | Data Privacy | Data Quality | Data Security | Debugging | ETL | Feature Engineering | Keras | Machine Learning | Model Deployment | Model Monitoring | PyTorch | Python | TensorFlow | Troubleshooting | Version control
Education
N/A
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