Junior AI/ML Engineer
Core
Junior AI/ML Engineer supporting data preprocessing, feature engineering, and supervised fraud classification model development for government clients.
Role type
Junior IC machine-learning engineer (fraud detection)
Builds
Fraud detection models and data pipelines for government review
Domain
Government / Financial Fraud / Machine Learning
Deliverable
production ML models
Required skills
Python, scikit-learn, Pandas, NumPy, supervised learning, model evaluation metrics, Jupyter notebooks, Git, CI/CD, data governance
Preferred skills
TensorFlow or PyTouch, NLP/NER pipelines, UiPath Maestro integration
Technologies
Python, scikit-learn, Pandas, NumPy, MLflow, TensorFlow, PyTorch, Jupyter, UiPath Maestro, Git
Responsibilities
Support data preprocessing and feature engineering pipelines; Assist in development, training, and evaluation of supervised fraud classification models; Maintain and monitor ML experiment tracking; Support model drift detection and retraining pipelines; Assist NLP/NER pipeline team with data transformation; Develop Jupyter notebook-based model exploration artifacts; Support UiPath Maestro agent integration testing; Implement data pipeline scripts for batch ingestion and scoring.
Seniority
Junior, 1–3 years experience
