Experienced AI & Machine Learning Engineer

USAA
San Antonio, Plano
Workplace: HybridFull timeUSD 127,310 - 243,340 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Communication","Teamwork"]

Build and deliver end-to-end AI/ML solutions for multiple USAA business lines, partnering with Data Scientists and stakeholders to align predictive analytics with business objectives. Design and implement ML systems across the full lifecycle—data pipelines, testing, deployment, scheduling, production support, and API development—using cloud and on-prem infrastructure. Develop proof of concepts for GenAI initiatives, refactor models into IT-maintainable solutions, and support code reviews, standards, and risk/compliance needs.

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FursaFursa
USAA
USAA
3 days ago

Experienced AI & Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Build and deliver end-to-end AI/ML solutions for multiple USAA business lines, partnering with Data Scientists and stakeholders to align predictive analytics with business objectives. Design and implement ML systems across the full lifecycle—data pipelines, testing, deployment, scheduling, production support, and API development—using cloud and on-prem infrastructure. Develop proof of concepts for GenAI initiatives, refactor models into IT-maintainable solutions, and support code reviews, standards, and risk/compliance needs.
Location: San Antonio, Plano
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with Data Scientists and business stakeholders to deliver predictive analytics aligned to business objectives.
  • •Develop, test, implement, and integrate ML model predictions into business applications to inform and drive activities.
  • •Refactor ML-related code into IT maintainable solutions that follow best practices and coding standards.
  • •Configure and manage AI/ML infrastructure components across cloud/on-prem environments, including AWS, GCP, and graph databases.
  • •Lead end-to-end ML engineering activities from analysis and design through data pipeline engineering, testing, deployment, scheduling, production support, API development, and integration.

Pay and Benefits

Salary: USD 127,310 - 243,340 annually
Perks:Health InsuranceDentalVision401kPensionLife InsuranceParental BenefitsAdoption AssistancePaid Leave

Key Requirements

  • •Bachelor’s degree; or 4 years of relevant education and/or experience.
  • •4+ years of machine learning engineering, data engineering, or software development implementing data solutions.
  • •Strong programming skills using Python and SQL (Java also referenced).
  • •Experience engineering and optimizing data pipelines and delivering end-to-end ML solutions (building, integrating, curating, and modeling data).
  • •Knowledge of MLOps and experience with a cloud platform (e.g., AWS SageMaker).
Experience:4+ yearsFinancial servicesRegulated industryInsuranceBankingGenAI
Education:Bachelor's
Skills:CommunicationTeamwork
Tech Stack:PythonSQLJavaAWSGCPGraph databasesFastAPIOpenShiftSnowflakeAWS SageMakerData pipelinesAPIsGenAIMLOpsCloud/on-prem

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

USAA
Provides insurance, banking, investment, and financial services to U.S. military members, veterans, and their families. Best known for auto, home, life insurance, and member-focused digital banking products.
Industry: Insurance
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: San Antonio, United States
Founded: 1922
WebsiteLinkedIn