AI / ML Engineer

Job Description

Job Description

Title : AI / ML Engineer

Reports to : Chief Technology Officer

Location : US Remote

About the Company

At BMG Money, our mission is to provide access to affordable and responsible credit for underserved consumers facing unexpected expenses. We all share one vision— Redefining lending through technology where underserved individuals can thrive financially through forward-thinking, responsible, and innovative financial solutions.

Job Summary

BMG Money is seeking an exceptional AI / ML Engineer to revolutionize fintech with us. Our fast-growing team is at the forefront of leveraging artificial intelligence to transform financial services, making them smarter, faster, and more accessible for everyone. As an AI / ML Engineer, you'll play a key role in building intelligent systems that power real-time decisions, risk assessments, fraud detection, customer experiences, and more. You'll work with diverse data, scalable architectures, and cutting-edge models that help us stay one step ahead in a dynamic market.

Key Responsibilities

• Design, train, and fine-tune machine learning and deep learning models that tackle critical fintech challenges—including credit scoring, risk modeling, and recommendation systems.
• Ensure accuracy, explainability, and robustness for all production-deployed models.
• Collect, clean, and process large, high-dimensional financial datasets (both structured and unstructured).
• Conduct exploratory data analysis (EDA) to identify hidden patterns, anomalies, and strategic opportunities for automation or insight.
• Collaborate closely with engineering teams to seamlessly deploy models into scalable microservices or APIs.
• Own the full ML lifecycle—from initial experimentation and validation to ongoing monitoring and retraining.
• Continuously research and integrate the latest advancements in AI, Large Language Models (LLMs), MLOps, and broader fintech AI trends.
• Rapidly prototype new approaches and conduct A / B tests to validate their real-world impact.
• Partner with product, fraud, engineering, and compliance teams to ensure AI solutions are fully aligned with business strategy and regulatory requirements.
• Participate actively in code reviews and contribute to a healthy, high-performing engineering culture.

Qualifications

Preferred Qualifications