Machine Learning Engineer
Q2 Software, Inc.5 days ago
Charlotte, NC, USA +2 moreMid Level
Responsibilities
- Research emerging fraud and abuse patterns and translate findings into detection approaches.
- Build machine learning products for identity, behavioral, and transaction fraud in partnership with customers.
- Build and optimize real-time, low-latency machine learning infrastructure for reliability, scalability, and performance.
- Develop and maintain pipelines supporting model training, evaluation, and inference.
- Collaborate with data scientists to productionize models into scalable applications.
- Write clean, maintainable, rigorously tested code using production engineering practices and AI-assisted development tools.
- Monitor and troubleshoot production machine learning systems, data pipelines, and model performance.
Requirements
- Bachelor’s degree in a related field and 2+ years of relevant experience.
- Proven experience developing and deploying machine learning models.
- Strong knowledge of statistics, optimization, probability theory, and experimental methodologies.
- Proficiency in Python, R, or Java.
- Experience with TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud platforms and scalable computing resources.
- Strong analytical, problem-solving, collaboration, and English communication skills.
- Preferred experience includes fraud detection, risk modeling, end-to-end machine learning systems, APIs, backend services, distributed systems, large datasets, data processing frameworks, and AI-assisted development tools.
Benefits
- Health and wellness benefits, including health insurance and paid parental leave for eligible new parents.
- Hybrid work opportunities.
- Flexible time off.
- Career development and mentoring programs.
- Community volunteering, company philanthropy, and employee peer recognition programs.
- Spark Program resources for volunteer work and nonprofit support.