AI/ML Engineer
USA, DC, Washington (901 15th St NW), United States
R
USD 99K-225K Mid-level Full Time
Tasks
- Build and maintain PySpark and Delta Lake pipelines
- Design supervised and unsupervised AI ML models
- Develop feature stores with governance standards
- Ensure AI ML artifacts comply with AI safety requirements
- Implement MLOps pipelines on AWS GovCloud
- Implement model monitoring for drift and performance
- Maintain model cards bias assessments and explainability documentation
- Maintain model retraining cadence and version control with MLflow
- Perform data profiling and data quality validation
- Produce model performance reports
- Support Authority to Operate (ATO) activities
- Train, test, deploy, and maintain machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CodePipeline | AWS GovCloud | AWS Step Functions | Amazon SageMaker | Bias Assessment | CI/CD | CloudFormation | Concept drift | Data Drift | Databricks | Databricks Lakehouse | Databricks Lakehouse Platform | Databricks ML | Databricks ML Runtime | Delta Lake | Explainable AI | Feature Store | GitLab CI | Lakehouse platform | ML runtime | MLflow | Medallion Architecture | Model Monitoring | PySpark | PyTorch | Python | SQL | Scikit-learn | Step Functions | TensorFlow | Terraform | Unity Catalog | XGBoost
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
Regions
Countries
States
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