AI/ML Engineer II

USAA
Anywhere
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: bachelorsSkills: []

Develop, test, implement, and integrate machine learning model predictions into business applications. Collaborate with data scientists to refactor model-related code into maintainable IT solutions and follow ML best practices. Contribute across the ML lifecycle—analysis, solution design, data pipelines, testing, deployment, scheduling, production support, and API/application integration—supporting GenAI initiatives. Set up and manage AI/ML infrastructure in cloud and on-prem environments, ensuring risks are identified and controlled in line with policy.

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FursaFursa
USAA
USAA
5 hours ago

AI/ML Engineer II

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Develop, test, implement, and integrate machine learning model predictions into business applications. Collaborate with data scientists to refactor model-related code into maintainable IT solutions and follow ML best practices. Contribute across the ML lifecycle—analysis, solution design, data pipelines, testing, deployment, scheduling, production support, and API/application integration—supporting GenAI initiatives. Set up and manage AI/ML infrastructure in cloud and on-prem environments, ensuring risks are identified and controlled in line with policy.
Location: Anywhere
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop, test, implement, and integrate ML-based processes that use model predictions and classifications to drive business activities.
  • •Refactor model-related code into IT maintainable solutions and follow ML development standards and coding best practices.
  • •Contribute across the ML lifecycle (analysis, solution design, data pipeline engineering, testing, deployment, scheduling, production support) including API development and application integration for GenAI applications.
  • •Design and write test scripts to verify data integrity and application functionality; review and improve existing test scripts.
  • •Configure and manage AI/ML infrastructure components in cloud/on-prem environments and support risk identification, monitoring, and control per risk and compliance policies.

Pay and Benefits

Perks:Health InsuranceDentalVision401kPensionLife InsurancePaid LeaveParental BenefitsAdoption AssistancePaid VolunteerWellness Stipend

Key Requirements

  • •Bachelor’s degree in Computer Science, Computer Software, Computer Engineering, Information Technology, Applied Sciences, Mathematics, Physics, or related field plus 2 years of experience in the role or related occupation.
  • •Programming skills with Pandas, NumPy, PySpark, Snowflake SQL, BigQuery, HTML, and CSS.
  • •Machine learning and NLP frameworks including Scikit-learn, XGBoost, TensorFlow, PyTorch, and NLTK.
  • •Experience with cloud and data infrastructure such as Google Cloud Platform (Vertex AI, BigQuery, Cloud Storage), Microsoft Azure, AWS (S3, EC2), Snowflake Snowpark, and OpenShift.
  • •Experience with workflow orchestration and DevOps tools including Apache Airflow, Control-M, GitLab CI/CD, Docker, FastAPI, Flask, and Domino.
Experience:2+ years
Education:Bachelor's
Tech Stack:PandasNumPyPySparkSnowflake SQLBigQueryHTMLCSSScikit-learnXGBoostTensorFlowPyTorchNLTKGoogle Cloud PlatformVertex AICloud StorageMicrosoft AzureAWSS3EC2Snowflake Snowpark

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