AI/ML Engineer
USA MD Aberdeen (209 Research Blvd), United States
USD 103K-181K Mid-level Full Time
Tasks
- Address operational incidents
- Automate model deployment
- Build data pipelines
- Create model training workflows
- Deploy machine learning models
- Design machine learning models
- Detect model drift
- Develop machine learning models
- Document model architecture and metrics
- Ensure AI/ML compliance
- Ensure model accuracy and reliability
- Evaluate emerging AI technologies
- Evaluate machine learning models
- Implement MLOps model versioning
- Implement corrective actions
- Investigate AI ML defects
- Maintain deployment procedures
- Manage model lifecycle
- Monitor model performance
- Monitor models in production
- Perform feature engineering
- Perform model quality assurance
- Resolve performance issues
- Support AI ML program execution
- Test machine learning models
- Train machine learning models
- Validate machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Artificial Intelligence | Azure AI | CI/CD | Cloud Platforms | Data Pipelines | Databricks | Deployment Automation | Feature Engineering | Google Vertex | Google Vertex AI | Hugging Face | Keras | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Predictive Analytics | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | Statistical modeling | Structured data | TensorFlow | Unstructured Data | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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