Node.Digital
Junior AI/ML Engineer
Herndon, Virginia · Full-time · Posted Oct 19, 2026
- Experience
- 1–3 years; includes internships, graduate research, or project work.
- Education
- Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a closely related field; recent graduates with strong applied ML coursework or project portfolios will be considered.
- Visa sponsorship
- Preferred: US Citizenship
About the job
Supports development, evaluation, and integration of machine-learning pipelines and fraud classification models in a government-regulated environment.
What you'll do
- Prepare datasets and maintain Python data pipelines, including preprocessing, feature engineering, and batch scoring.
- Train and evaluate supervised fraud classification models; document metrics, experiments, and model drift findings.
- Support NLP/NER and UiPath Maestro integration testing, and produce notebooks and technical artifacts for government deliverables.
What they ask for
- Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a closely related field.
- 1–3 years of hands-on experience in machine learning, data science, or data engineering with Python; internships, graduate research, and project work count.
- Proficiency with scikit-learn, Pandas, and NumPy; familiarity with TensorFlow or PyTorch.
- Experience with ML evaluation workflows and Jupyter notebooks.
Tools
Python, scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, Jupyter, MLflow
AI focus
Develop and evaluate supervised fraud classification models; support model drift detection and retraining, NLP/NER data processing, and integration testing of model inference with UiPath Maestro agents.
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