AI Machine Learning Engineer
Ashburn, Virginia, United States (Hybrid)
R
USD 96K-220K (estimate) Senior-level Full Time
Tasks
- Build MLOps pipelines for continuous integration and continuous delivery
- Collaborate with cross-functional teams for technical solutions
- Deploy machine learning models to production
- Design, train, and validate machine learning models
- Detect mitigate dataset and model bias
- Document model development processes for auditability
- Ensure AI solutions comply with NIST and FedRAMP
- Evaluate machine learning algorithms and architectures
- Implement automated testing model versioning and performance monitoring
- Integrate models with enterprise systems cloud platforms and APIs
- Monitor model performance retrain models and optimize accuracy
- Perform data collection ingestion cleansing preprocessing feature engineering
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Azure | Bias detection | Big Data | CI/CD | Cloud Computing | Continuous Delivery | Continuous integration | Data Preprocessing | Deep learning | Docker | Feature Engineering | FedRAMP | Google Cloud | Hadoop | Kubernetes | MLOps | Machine Learning | Microservices | Model Explainability | Model Monitoring | Model versioning | NIST | PyTorch | Responsible AI | Scikit-learn | Spark | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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