Junior AI/ML Engineer
Herndon, Virginia, United States
USD 64K-105K (estimate) Entry-level Full Time
Tasks
- Build Jupyter notebook reporting artifacts
- Compute model evaluation metrics
- Develop data pipeline scripts for batch ingestion
- Develop training evaluation supervised models
- Follow IRMS data handling procedures
- Handle class imbalance
- Integrate ML inference with UiPath Maestro
- Maintain ML experiment tracking
- Maintain feature store updates
- Monitor ML experiments with MLflow
- Participate in code reviews
- Perform feature engineering
- Prepare model inference payloads
- Produce EPLC deliverables artifacts
- Run batch model scoring
- Support data preprocessing
- Support model drift detection
- Support model retraining pipelines
- Transform NLP NER outputs
- Validate entity extraction quality
Perks/Benefits
- 401k matching
- Basic Life
- Dental
- Health Saving Account
- Medical
- Online training
- Paid Holidays
- Paid time off
- Vision
Skills/Tech-stack
AUC-ROC | Access Control | CI/CD | Class imbalance | Confusion matrix | Cross-validation | Data Governance | Data Segregation | Drift Detection | F1-score | Feature Engineering | Git | Jupyter Notebook | MLflow | Model Drift | Model Drift Detection | NER | NIST SP | NIST SP 800 | NIST SP 800-160 | NLP | NumPy | OWASP | Pandas | Precisión | PyTorch | Python | Recall | Retraining | SMOTE | SP 800-160 | Scikit-learn | TensorFlow | Train Validation Test | Train validation test split | UiPath Maestro
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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