Machine Learning Engineer
St. Louis, MO; Boston, MA; New York, NY
R
USD 140K-180K Senior-level Full Time
Tasks
- Build scalable ML solutions on cloud using managed services and infrastructure as code
- Design implement data pipelines for training inference and model lifecycle management
- Develop deploy optimize machine learning models for business use cases
- Ensure data quality reproducibility and version control across ML workflows
- Implement model monitoring logging and alerting for performance drift and retraining
- Maintain production machine learning systems with continuous improvement
- Operationalize predictive models for production deployments
- Write modular well documented code for MLOps aligned engineering best practices
Perks/Benefits
Skills/Tech-stack
AWS | Alerting | Apache Spark | Azure | CI/CD | Cloud Computing | Cloud platform | Dask | Data version control | Docker | Drift Detection | Feature Engineering | Git | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Logging | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Pandas | PyTorch | Python | Scikit-learn | TensorFlow | Version control | “as-code”
Regions
Countries
States
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