WCM White Cap Management LLC
Principal ML/AI Engineer
About this role
A position at White Cap isn’t your ordinary job. You’ll work in an exciting and diverse environment, meet interesting people, and have a variety of career opportunities. The White Cap family is committed to Building Trust on Every Job. We do this by being deeply knowledgeable, fully capable, and always dependable, and our associates are the driving force behind this commitment. Job Summary Responsible for serving as the Data Science team's senior technical leader and subject matter expert for machine learning (ML) and artificial intelligence (AI) systems. Responsible for the design, development, and operationalization of machine learning and AI solutions that address the organization's most complex business challenges while establishing technical standards and architectural direction for the team. As a force multiplier, this role accelerates delivery, elevates engineering quality, and strengthens team capabilities through hands-on technical leadership, mentorship, and support. Major Tasks, Responsibilities and Key Accountabilities
- Serves as the principal engineering authority for enterprise-grade systems supporting data science, machine learning, and AI in Azure and Databricks. Sets the technical direction and architectural patterns that turn analytical models and prototypes into production solutions that are scalable, secure, reliable, and maintainable.
- Leads the architecture and hands-on development of applications, services, APIs, and reusable components that deliver and operate data science solutions, covering model execution, business workflows, user experiences, system integrations, and downstream consumption of model outputs.
- Designs systems to scale across users, datasets, models, and business processes. Owns the tradeoffs related to performance, fault tolerance, availability, security, maintainability, and cost, and surfaces architectural risks early so solutions support long-term enterprise use.
- Establishes the engineering practices for deploying, operating, and monitoring ML/AI solutions in production. Defines standards for CI/CD, automated testing, model and code versioning, environment management, observability, rollback, and production support across the full solution lifecycle.
- Defines and enforces software engineering standards for teams building systems in support of data science.
- Leads architecture, design, and code reviews covering code quality, modularity, testing, documentation, security, and maintainability, and serves as the final escalation point for complex technical decisions.
Preferred Qualifications
- Advanced degree in computer science.
- Strong ability to summarize and communicate technical challenges and solutions effectively. If you’re looking to play a role in building America, consider one of our open opportunities. We can’t wait to meet you.