Job Details

Machine Learning Engineer

Fueled by a fundamental belief in innovation, Resurgent Capital Services is an industry-leading financial services company in our sector. It all began 25 years ago when a small group of successful entrepreneurs had a vision for a new type of asset receivables company. One with a commitment to superior service and a personal touch with every interaction. We believe that demonstrating integrity in everything we do, maintaining a strong commitment to compliance, and doing things the right way is a sustainable business model. We want you to feel like your work has an impact and makes a difference every day. Join us as we develop strategies for change and transform the trajectory of your career!

The role will first focus on the engineering and operationalization of ML and AI models, ensuring they run reliably in production. As the position evolves, the selected candidate will have opportunities to grow into broader areas of Data Science and Artificial Intelligence. This role is ideal for someone with strong technical foundations who enjoys building systems that make models work reliably in production, with a strong desire to rapidly grow their expertise in Data Science and AI. This position reports to the Sr. Director of Data Science.

Roles & Responsibilities:

• Package and deploy machine learning models as APIs or batch workflows.
• Design pipelines for automated data ingestion, feature processing, and model retraining.
• Build monitoring and alerting systems for data quality, drift, and prediction accuracy.
• Collaborate with stakeholders across Data Science, IT, and Business teams to ensure smooth integration of models.
• Contribute to the development of standards for reproducibility, governance, and compliance.
• Explore and introduce new tools in the MLOps ecosystem that improve scalability and reliability.

Skills & Qualifications:

• Master's degree in a quantitative field such as Computer Science, Applied Mathematics, or Engineering.
• 24 years of professional experience in data science, data engineering, or machine learning engineering.
• Strong programming skills in Python or R; proficiency with SQL is a plus.
• Working knowledge of cloud platforms (preferably Microsoft Azure).
• Solid understanding of machine learning, algorithmic thinking, and statistics.
• Excellent problem-solving skills and a growth mindset.
• Strong communication and collaboration skills.
• Familiarity with model deployment frameworks, workflow orchestration tools, or monitoring tools is a plus.

Educational Requirements:

• Master's degree in quantitative science (mathematics, computer science, engineering, etc.)

Resurgent is an Equal Opportunity employer that is fueled by our diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.