Machine Learning Engineer
Cottonwood Heights, Utah, United States
USD 185K-220K (estimate) Senior-level Full Time Found 8d ago
Tasks
- Build reusable frameworks and pipelines
- Collaborate on CI/CD, infrastructure, deployment
- Create documentation and reference implementations
- Design optimize training and inference systems
- Develop APIs for real-time inference
- Develop production ML systems
- Establish model quality and data drift monitoring
- Evaluate and productionize emerging AI models
- Integrate models with production data flows
- Maintain model registry and versioning workflows
- Monitor model behavior and performance
- Standardize deployment patterns and pipelines
Perks/Benefits
Skills/Tech-stack
API Development | Agile Mindset | Cloud-based | Cloud-based Platforms | Collaboration | Communication | Data Drift | Data Drift Detection | Docker | Drift Detection | Environment Management | FastAPI | GitHub Actions | LLM Deployment | LightGBM | ML Libraries | MLflow | Model Monitoring | Problem Solving | PyTorch | Python | REST | SageMaker | Scikit-learn | Snowflake | System Integration | System Reliability | Terraform | XGBoost
Education
Language: en |
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