Experienced AI & Machine Learning Engineer

Experteer Overview In this role you will develop and deploy AI/ML solutions across USAA’s lines of business, collaborating with data scientists to deliver predictive analytics and GenAI capabilities. You will configure AI/ML infrastructure in cloud and on-prem environments and own end-to-end ML workflows, from data preprocessing to production support. The position offers exposure to sentiment analysis and agentic AI to enhance member service. You will work with cross-functional teams to drive impactful, technically rigorous projects that align with business goals. Compensation / Benefits * Partner with data scientists and business teams to align predictive analytics with objectives * Develop, test, and integrate ML-enabled processes with business applications * Refactor code into maintainable IT solutions following best practices * Configure and manage AI/ML infrastructure across cloud/on-prem environments * Lead full ML lifecycle: analysis, design, data pipelines, testing, deployment, and API development * Design complex ML/AI solutions and prototypes to drive initiatives * Collaborate on new technologies and approaches for complex tasks * Develop and enforce data development tools and standards; conduct regular code reviews * Identify, measure, and manage risks per compliance policies Tasks * 4+ years of machine learning engineering, data engineering, or software development * Proficient in Python, SQL, Java * Experience with data engineering and end-to-end data pipelines * Experience delivering ML solutions with data pipelines and data modeling for various consumers/products * Working knowledge of MLOps and automated workflows * Knowledge of Data Science principles and methodologies * Familiarity with statistical/predictive modeling and ML concepts * Effective teamwork and communication * Experience with at least one cloud platform and components (e.g., AWS SageMaker) Key requirements * comprehensive medical, dental and vision plans * 401(k) and pension * life insurance * parental benefits and adoption assistance * paid time off with holidays + 16 paid volunteer hours * wellness programs and ongoing education

and API development * Design complex ML/AI solutions and prototypes to drive initiatives * Collaborate on new technologies and approaches for complex tasks * Develop and enforce data development tools and standards; conduct regular code reviews * Identify, measure, and manage risks per compliance policies Tasks * 4+ years of machine learning engineering, data engineering, or software development * Proficient in Python, SQL, Java * Experience with data engineering and end-to-end data pipelines * Experience delivering ML solutions with data pipelines and data modeling for various consumers/products * Working knowledge of MLOps and automated workflows * Knowledge of Data Science principles and methodologies * Familiarity with statistical/predictive modeling and ML concepts * Effective teamwork and communication * Experience with at least one cloud platform and components (e.g., AWS SageMaker) Key requirements * comprehensive medical, dental and vision plans * 401(k) and pension * life insurance * parental benefits and adoption assistance * paid time off with holidays + 16 paid volunteer hours * wellness programs and ongoing education