AI/ML Engineer – Mid Level

USAA

. Engage in all phases of data management and machine learning lifecycles, including requirements analysis, data collection and processing, statistical analysis, model performance monitoring, and risk adherence .

Posted 10/19/2026full-timeUnited StatesMid-LevelSenior💰 $127,310 - $243,340 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning engineering, data engineering, and software development, with a strong focus on implementing end-to-end machine learning solutions and optimizing data pipelines. Proficient in cloud platforms and AI/ML infrastructure management, ensuring compliance and risk management throughout the data lifecycle.

Highest-signal resume keywords

Machine Learning EngineeringData Pipeline EngineeringPython ProgrammingAWS SageMakerMLOps Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData EngineeringStatistical AnalysisPredictive ModelingData CollectionData ProcessingModel Performance MonitoringRisk AdherenceAPI DevelopmentApplication Integration

Soft Skills

Effective CommunicationTeam Collaboration

Tools & Technologies

AWSGCPGraph DatabasesML FrameworksGenAI Applications

Industry Keywords

Data ManagementData LakesData MartsOperational AnalyticsData Science Methodologies

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformJavaPython

About the role

Key responsibilities & impact

Engage in all phases of data management and machine learning lifecycles, including requirements analysis, data collection and processing, statistical analysis, model performance monitoring, and risk adherence
Develop and maintain technical systems using machine learning models for classification and decision-making
Partner with Data Scientists and business stakeholders to align predictive analytics solutions with business objectives
Develop, test, implement, and integrate processes with business applications using machine learning predictions and classifications
Refactor Data Scientist code into IT-maintainable solutions following best practices and coding standards
Configure, manage, and set up AI/ML infrastructure in cloud and on-premises environments, including AWS, GCP, and graph databases
Conduct the full machine learning engineering lifecycle, including solution design, data pipeline engineering, testing, deployment, scheduling, production support, API development, and application integration
Support GenAI applications, ML frameworks/libraries, and ML models
Design and implement complex machine learning, artificial intelligence, and GenAI solutions
Create proofs of concept and prototypes for complex initiatives
Collaborate with engineers and teams on new technologies and alternatives
Develop, maintain, and enforce data development tools and standards
Conduct regular code reviews to improve quality and ensure compliance
Identify, measure, monitor, and control risks in accordance with risk and compliance policies

Requirements

What you’ll need

Bachelor's degree; OR 4 years of relevant education and/or experience
4 years of machine learning engineering, data engineering, or software development experience implementing data solutions
Strong programming skills using Python, R, Java, etc.
Strong experience in data engineering and data pipelines
Experience delivering end-to-end machine learning solutions, including building, integrating, and optimizing data pipelines
Experience curating and modeling data for data marts, data lakes, and operational analytic applications
Working knowledge of MLOps principles and implementing automated workflows
Knowledge of Data Science principles and experience with data science methodologies
Familiarity with statistical and predictive modeling approaches and machine learning concepts
Effective communication skills and ability to work in a team-oriented setting
Strong experience with at least one cloud platform and relevant components, such as AWS SageMaker
Must not require immigration support or visa sponsorship now or in the future

Benefits

Comp & perks

Remote or hybrid flexibility may be available for active-duty military spouses, consistent with policy and business needs
Relocation assistance is not available
Pay incentives may be available based on overall corporate and individual performance, at the discretion of the USAA Board of Directors
Comprehensive medical, dental and vision plans
401(k)
Pension
Life insurance
Parental benefits
Adoption assistance
Paid time off program
Paid holidays
16 paid volunteer hours
Various wellness programs
Career path planning
Continuing education assistance