1 day ago
Charlotte, NC, USA +3 moreMid Level
Base Salary
$127k - $243k/yr
Responsibilities
- Partner with Data Scientists and business stakeholders to align predictive analytics solutions with business objectives.
- Develop, test, implement, and integrate business processes that use machine learning predictions and classifications.
- Refactor machine learning code into maintainable solutions that follow coding standards and best practices.
- Configure, manage, and set up AI/ML infrastructure components in AWS, GCP, graph databases, and cloud or on-premises environments.
- Perform machine learning engineering activities including data pipeline engineering, testing, deployment, scheduling, production support, API development, and application integration.
- Design complex machine learning, artificial intelligence, and GenAI solutions and create proof-of-concepts and prototypes.
- Collaborate with engineers on technologies and alternatives for complex assignments.
- Maintain and enforce data development tools and standards and conduct regular code reviews.
- Identify, measure, monitor, and control risks in accordance with risk and compliance policies.
Requirements
- Bachelor's degree or four years of relevant education and/or experience.
- Four years of experience in machine learning engineering, data engineering, or software development implementing data solutions.
- Strong programming skills in Python, R, Java, or similar languages.
- Strong experience with data engineering and data pipelines.
- Experience delivering end-to-end machine learning solutions, including building, integrating, and optimizing data pipelines and curating and modeling data.
- Working knowledge of MLOps principles and automated workflows.
- Knowledge of Data Science principles and 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.
Benefits
- Comprehensive medical, dental, and vision plans.
- 401(k), pension, and life insurance.
- Parental benefits and adoption assistance.
- Paid time off, paid holidays, and 16 paid volunteer hours.
- Wellness programs, career path planning, and continuing education.
- The role requires working in the office four days per week in San Antonio, Plano, Phoenix, or Charlotte; remote or hybrid flexibility may be available for active-duty military spouses consistent with policy and business needs.
- Relocation assistance is not available.
- Applications are accepted on an ongoing basis until the position is filled.
Tech Stack
Categories
Data EngineeringML Engineering
About USAA
USAA is a membership-based financial services company serving U.S. military members, veterans, and their families with banking, insurance, and investment products. It offers auto, home, and life insurance; checking and savings; credit cards; loans; and retirement and brokerage services, delivered primarily online and by phone. Founded in 1922 and headquartered in San Antonio, Texas, it is privately held and built around a member-owned insurance exchange and affiliated financial subsidiaries.