Senior Machine Learning Engineer (Fintech)

TL;DR

Senior Machine Learning Engineer (Fintech): Designing and scaling production-grade data and ML pipelines for fraud and payment risk systems with an accent on ETL processes and feature engineering. Focus on productionizing models, establishing observability for model drift, and ensuring reliable decision-making across financial flows.

Location: Boston, MA (USA)

Company

hirify.global is a publicly traded technology company specializing in regulated gaming and fintech solutions.

What you will do

• Design, build, and maintain ETL and feature engineering pipelines for risk and payment applications.
• Develop production ML systems, covering the full cycle from training and evaluation to deployment and monitoring.
• Collaborate with data scientists to integrate production-ready models into decisioning systems.
• Build reliable, well-tested SQL-based data workflows and feature transformations.
• Establish observability and monitoring for data quality, model drift, and service reliability.
• Mentor junior engineers and contribute to shared tooling, documentation, and process improvements.

Requirements

• 3+ years of experience developing production Python applications and working with structured data (SQL).
• Strong software engineering fundamentals, including object-oriented design, testing, and version control.
• Experience with ML Ops frameworks, such as model registries, orchestrations, and feature stores.
• Deep understanding of the ML lifecycle: feature engineering, training, and model serving.
• Bachelor’s degree in Computer Science, Machine Learning, or a related technical field.
• Must be able to obtain a gaming license issued by the appropriate state agency as a condition of employment.

Culture & Benefits

• Innovative environment focused on shaping the future of AI in gaming and fintech.
• Commitment to diversity, equity, and inclusion as an equal-opportunity employer.
• Professional growth opportunities through mentoring and contributing to organizational tooling.
• Stability of working for a publicly traded (NASDAQ) technology leader.