AI & Machine Learning Engineer

USAA
San Antonio, Plano
Workplace: HybridFull timeUSD 103,450 - 197,730 annuallyFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: bachelorsSkills: ["Effective communication","Team-oriented collaboration"]

Join an AI engineering team building AI/ML solutions across USAA’s lines of business. You’ll develop and refactor ML-driven applications, collaborate with data scientists on model-to-production work, and engineer data pipelines, APIs, and testing to support GenAI applications. The role includes training, deployment/scheduling, production support, and configuring AI/ML infrastructure in cloud or on-prem environments (AWS/GCP and graph databases), with a strong focus on reliable, maintainable implementations.

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FursaFursa
USAA
USAA
3 days ago

AI & Machine Learning Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Join an AI engineering team building AI/ML solutions across USAA’s lines of business. You’ll develop and refactor ML-driven applications, collaborate with data scientists on model-to-production work, and engineer data pipelines, APIs, and testing to support GenAI applications. The role includes training, deployment/scheduling, production support, and configuring AI/ML infrastructure in cloud or on-prem environments (AWS/GCP and graph databases), with a strong focus on reliable, maintainable implementations.
Location: San Antonio, Plano
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Contribute to development, testing, implementation, and integration of ML-model-prediction and classification processes that inform business activities.
  • •Collaborate with Data Scientists to refactor code into IT-maintainable solutions using ML development standards and coding best practices.
  • •Participate across the ML lifecycle (analysis, solution design, data pipeline engineering, testing, deployment, scheduling, production support) and support API development and application integration for GenAI.
  • •Design and write test scripts to verify data integrity and application functionality, and review existing test scripts.
  • •Configure and manage AI/ML infrastructure components in cloud or on-prem environments (including AWS, GCP, and graph databases).

Pay and Benefits

Salary: USD 103,450 - 197,730 annually
Perks:Health InsuranceDentalVision401kPensionLife InsuranceParental BenefitsAdoption AssistancePaid LeavePaid HolidaysVolunteer HoursWellness Stipend

Key Requirements

  • •Bachelor’s degree; or 4 years of relevant education and/or experience.
  • •2+ years of machine learning engineering, data engineering, or software development implementing data solutions.
  • •Programming skills using Python and SQL.
  • •Working understanding of data engineering concepts and experience implementing machine learning solutions.
  • •Familiarity with ML libraries (e.g., pandas, NumPy, scikit-learn) and cloud fundamentals (AWS or GCP).
Experience:2+ yearsFinancial servicesInsuranceBankingGenAIData engineeringMachine learning
Education:Bachelor's
Skills:Effective communicationTeam-oriented collaboration
Tech Stack:PythonSQLPandasNumPyScikit-learnFastAPIOpenShiftSnowflakeJavaAWSGCPGraph databases

Eligibility

Visa:H1BTNSTEM OPT
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