AI/ML Engineer II

6d6 days ago

USAA

Phoenix, US · Full-time · $125,000 – $165,000

About this role

At USAA, our mission is to empower members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career where core values of honesty, integrity, loyalty and service define how we treat each other and members.

Contribute to the development, testing, implementation, and integration of processes with business applications that utilize machine learning model predictions and classifications to inform business activities. Leverage understanding of models and collaborate with Data Scientists to refactor code into IT maintainable solutions that follow best practices and meet coding standards.

Work with cross-functional teams to contribute to machine learning projects throughout the lifecycle, including analysis, solution design, data pipeline engineering, testing, deployment, scheduling, production support, API development, and application integration for GenAI applications and ML frameworks.

Assist with designing and writing test scripts to verify data integrity and functionality. Configure, manage, and set up AI/ML infrastructure components in cloud/on-prem environments for projects and AI/ML community stakeholders, including AWS, GCP, graph databases. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled.

Develop familiarity with machine learning engineering best practices by participating in trainings, reviewing documentation, and reading code from existing solutions. Position may allow for partial telecommute.

Requirements

Programming Languages: Pandas, NumPy, PySpark, Snowflake SQL, BigQuery, HTML and CSS
Machine Learning & NLP Frameworks: Scikit-learn, XGBoost, TensorFlow, PyTorch, and NLTK
Cloud Platforms & Data Infrastructure: Google Cloud Platform (Vertex AI, BigQuery, and Cloud Storage), Microsoft Azure, AWS (S3 and EC2), Snowflake Snowpark, and OpenShift
Workflow Orchestration & DevOps: Apache Airflow, Control-M, GitLab CI/CD, Docker, FastAPI, Flask, and Domino

Responsibilities

Contribute to the development, testing, implementation, and integration of processes with business applications utilizing machine learning model predictions and classifications
Leverage understanding of models and collaborate with Data Scientists to refactor code into IT maintainable solutions following best practices and coding standards
Adhere to and apply ML development standards and coding best practices
Work with cross-functional team to contribute to machine learning projects throughout the machine learning lifecycle including analysis, solution design, data pipeline engineering, testing, deployment, and application integration
Assist with designing and writing test scripts to verify data integrity and application functionality
Review functionality of existing test scripts for understanding
Configure, manage, and set up AI/ML infrastructure components in cloud/on-prem environments including AWS, GCP, graph databases
Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled

Benefits

May allow for partial telecommute
Eligible for the Employee Referral Program
Paid within the salary range based on experience and market data of the position
Eligible for pay incentives based on overall corporate and individual performance