AI/ML Engineer
USA MD Aberdeen (209 Research Blvd), United States
USD 103K-181K Mid-level Full Time
Tasks
- Build data pipelines and feature engineering processes
- Create model training workflows
- Design machine learning models
- Develop train evaluate deploy AI/ML models
- Document model architecture and performance metrics
- Ensure AI ML compliance with security privacy ethics and governance
- Evaluate emerging AI technologies
- Implement MLOps model versioning and deployment automation
- Implement corrective actions in production
- Monitor and manage model lifecycle
- Monitor model performance and drift
- Test validate and ensure model quality
- Troubleshoot defects performance and incidents
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Artificial Intelligence | Azure AI | CI/CD | Cloud Computing | Data Pipelines | Databricks | Deployment Automation | Feature Engineering | Generative AI | Google Vertex | Google Vertex AI | Hugging Face | Keras | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model versioning | 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/ML Engineer | Engineer | ML Engineer
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