Machine Learning Engineer (Fintech)

TL;DR

Machine Learning Engineer (Fintech): Designing, implementing, and scaling AI solutions for digital banking and lending platforms with an accent on model development and production integration. Focus on building scalable machine learning pipelines, analyzing large datasets, and ensuring system performance to drive data-driven financial innovation.

Location: Must be authorized to work in the U.S. (Austin, TX based, hybrid role).

Company

hirify.global is a leading provider of digital banking and lending solutions for financial institutions and fintechs, dedicated to building strong communities through innovative technology.

What you will do

• Design and implement machine learning algorithms for diverse business applications.
• Conduct research and experimentation to advance internal machine learning capabilities.
• Collaborate with cross-functional teams to integrate AI solutions into production environments.
• Analyze large datasets to extract insights and support data-driven decision-making.
• Develop and maintain scalable machine learning pipelines and systems.
• Ensure the quality and performance of AI systems through rigorous testing and validation.

Requirements

• Must be authorized to work for any employer in the U.S. (no visa sponsorship available).
• Bachelor’s degree in a related field with 5–8 years of relevant experience.
• Proven experience in ML model development and deployment.
• Strong knowledge of statistics, optimization, probability theory, and experimental methodologies.
• Proficiency in Python, R, or Java.
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

Culture & Benefits

• Hybrid work opportunities.
• Competitive health insurance and wellness benefits.
• Flexible time off and generous paid parental leave.
• Career development, mentorship programs, and internal mobility.
• Community volunteering and company philanthropy programs.
• Employee peer recognition programs.