Machine Learning Engineer

Q2 India

Cary, North Carolina, United States

Cary, North Carolina, United States

About

As a Machine Learning Engineer at Q2, you will help build and operate production systems that power our fraud products, bringing models into production in a reliable, scalable, and maintainable way. You will work closely with data scientists and engineers to support the entire ML lifecycle, from training and evaluation to deployment and ongoing monitoring. Key Responsibilities Build and maintain systems and pipelines that support training, evaluation, and inference for machine learning models. Contribute to deploying machine learning models into production environments and ensuring they run reliably at scale. Write clean, maintainable, and well‑tested code following production engineering best practices. Support monitoring and troubleshooting production ML systems, including data pipelines and model performance. Collaborate with data scientists and engineers to productionalize models and integrate them into scalable applications. Help improve the reliability, scalability, and performance of ML systems over time. Contribute to improving tooling and infrastructure that supports the ML development lifecycle. Qualifications Bachelor’s degree in a relevant field and a minimum of 2+ years of related experience; or an advanced degree; or equivalent related work experience. Proficiency in Python. Experience writing clean, maintainable code and using version control (e.g., Git). Experience with machine learning and common frameworks (e.g., PyTorch, TensorFlow, scikit‑learn). Fluent written and oral communication in English. Authorized to work for any employer in the U.S.; no visa sponsorship is available. Preferred / Nice to Have Experience Experience building end‑to‑end ML systems, including data pipelines, model training, deployment, and monitoring. Experience deploying or integrating machine learning models into applications. Experience building APIs, backend services, or working with distributed systems. Familiarity with cloud platforms (AWS, GCP, or Azure). Exposure to MLOps concepts such as CI/CD and model monitoring. Experience working with large datasets or data processing frameworks. Experience with other programming languages (e.g., Typescript). Benefits & Culture Health & Wellness benefits, including competitive health insurance and generous paid parental leave. Hybrid work opportunities and flexible time off. Career development & mentoring programs. Community volunteering & company philanthropy programs. Employee peer recognition programs. Equal Opportunity Employer We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status. Applicants in California or Washington State may not be exempt from federal and state overtime requirements.
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Cary, North Carolina, United States

Languages

English

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