AI/ML Engineer - Mid Level

About The Company At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service, and trusted advice. We seek to be the preferred choice for the military community and their families, supporting them in their financial journeys. Our organization is built upon core values such as honesty, integrity, loyalty, and service, which guide our interactions both internally and externally. We are committed to fostering a work environment that promotes growth, inclusion, and purpose, ensuring our employees can thrive professionally and personally. USAA also takes pride in supporting active-duty military spouses by offering flexible work arrangements, including remote or hybrid options, in accordance with applicable policies and business needs. We believe in creating a workplace that respects and accommodates the unique needs of our diverse workforce, especially those serving our military community. About The Role We are seeking a dedicated AI/ML Engineer - Mid Level to join our dynamic team. In this role, you will be involved in all phases of the data management and machine learning lifecycle, including requirement analysis, data collection and processing, statistical analysis, model monitoring, and compliance with risk requirements. Your primary responsibility will be to develop and maintain technical systems that utilize machine learning models to make predictions for classification and decision-making purposes. This position offers an exciting opportunity to work on innovative AI and ML projects that have a direct impact on our business operations and customer experience. The role requires collaboration with data scientists, business stakeholders, and engineering teams to ensure predictive analytics solutions align with organizational objectives. The position is based in one of our key locations—San Antonio, TX, Plano, TX, Phoenix, AZ, or Charlotte, NC—and requires in-office presence four days a week. Relocation assistance is not provided for this role. Qualifications Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent relevant experience (minimum 4 years).At least 4 years of experience in machine learning engineering, data engineering, or software development with a focus on data solutions.Proficiency in programming languages such as Python, R, Java, or similar.Strong experience in building and managing data pipelines and data engineering tasks.Hands-on experience with end-to-end delivery of machine learning solutions, including data modeling, pipeline creation, and optimization.Knowledge of ML Ops principles and experience with automation workflows.Understanding of data science methodologies and statistical modeling approaches.Familiarity with cloud platforms such as AWS, GCP, and relevant services like AWS Sagemaker.Effective communication skills and the ability to work collaboratively within a team-oriented environment. Responsibilities Partner with data scientists and business units to develop predictive analytics solutions aligned with organizational goals.Design, develop, test, implement, and integrate processes utilizing machine learning models to support business activities.Refactor and optimize model code in collaboration with data scientists, ensuring maintainability and adherence to coding standards.Configure and manage AI/ML infrastructure components across cloud and on-premises environments, including AWS, GCP, and graph databases.Conduct full lifecycle machine learning engineering tasks, including data analysis, solution design, pipeline engineering, testing, deployment, and support.Create proof of concepts and prototypes to drive innovation and support complex initiatives.Collaborate with engineering teams on new technologies and alternative solutions for project execution.Develop, maintain, and enforce data development tools and standards, conducting code reviews to ensure quality and compliance.Identify, measure, monitor, and control risks associated with business activities in accordance with risk management policies. Benefits Comprehensive medical, dental, and vision plans to support physical wellness.Retirement savings options including 401(k) plans and pensions.Life insurance and parental benefits, including adoption assistance.Paid time off, holidays, and 16 paid volunteer hours annually.Wellness programs aimed at supporting emotional and mental health.Opportunities for career development, continuing education, and professional growth. Equal Opportunity USAA is an Equal Opportunity Employer. We are committed to creating an inclusive environment where all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. We believe diversity enhances our ability to serve our members and fosters a vibrant, innovative workplace.