ML Engineer Intern: Fraud Detection & ML Pipelines

Q2 India; Cary (NC); On-site; USD 28,000 - 41,000; Full time

Job summary

Q2, a leading provider of digital banking and lending solutions in the U.S., is seeking a motivated ML Intern in Cary, North Carolina. You will explore the full lifecycle of applied ML, from model development to deployment, on real-world systems.

You’ll collaborate with engineers and researchers, write clean code, work with Python and ML frameworks, and help build data pipelines that support training and inference.

Qualifications

• Currently pursuing a degree in Computer Science, Data Science, ML, or related field.
• Coursework or project experience with Python; R or Java is a plus.
• Exposure to ML frameworks such as TensorFlow, PyTorch, scikit-learn.
• Foundational knowledge of statistics, probability, or experimental methods.
• Strong analytical thinking, curiosity, and collaboration.

Responsibilities

• Support research into emerging fraud and abuse patterns and translate findings into detection ideas.
• Build and test features for ML products across identity, behavior, and transaction fraud.
• Help maintain pipelines that support training, evaluation, and inference of ML models.
• Write clean, well-tested code with engineers using modern AI-assisted tools.
• Monitor production ML systems, including data pipelines and model performance.

Skills

Python

R

Java

Analytical thinking

Collaboration

Curiosity

Education

Pursuing CS/DS/ML degree

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Q2, a leading provider of digital banking and lending solutions in the U.S., is seeking a motivated ML Intern in Cary, North Carolina. You will explore the full lifecycle of applied ML, from model development to deployment, on real-world systems.

You’ll collaborate with engineers and researchers, write clean code, work with Python and ML frameworks, and help build data pipelines that support training and inference.