Principal Machine Learning Engineer
Tasks
- Communicate ML concepts to stakeholders
- Define AI roadmap prioritize work and deliver
- Define ML architecture vision
- Design develop deploy production ML models
- Ensure ML solutions reusable scalable and aligned
- Improve model quality robustness and performance
- Mentor engineers on ML system design and best practices
- Own end to end ML initiative delivery
- Partner with platform data and DevOps teams
- Set ML engineering standards
- Solve challenging ML and AI platform problems
- Translate research prototypes into production systems
Perks/Benefits
- 401k with company matching
- Disability coverage
- Employee assistance program
- Flexible spending accounts
- Flexible vacation policy
- Life insurance
- Medical, dental, and vision insurance
- Paid Holidays
- Paid parental leave
- Sick leave
Skills/Tech-stack
AWS | Airflow | Amazon Bedrock | Amazon SageMaker | CI/CD | DBT | Data Modeling | Experiment design | Experiment tracking | Feast | Feature Engineering | Graph ML | Java | Jenkins | Kafka | Lifecycle Management | MLOps | Machine Learning | Model Lifecycle | Model Lifecycle Management | Model Monitoring | NLP | PyTorch | Python | Rust | SQL | Scikit-learn | Shell/Bash | Snowflake | Statistics | TensorFlow | Time Series
Education
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