Machine Learning Operations MLOps Engineer

Kforce is partnering with a growing organization in Phoenix, AZ that is seeking a Machine Learning/MLOps Engineer to their team. This is a high-impact, highly visible role focused on building and scaling machine learning operations capabilities within a modern data environment.

Summary: This individual will play a key role in establishing best practices, supporting production ML initiatives, and helping shape the long-term ML strategy. The role is ideal for someone who thrives in a fast-paced, build-from-scratch environment and enjoys bringing structure to evolving processes.

Key Responsibilities:

• Design, build, and scale MLOps capabilities within a growing data and analytics environment

Establish and implement best practices for the ML lifecycle, including:

• Model development and versioning
• Deployment and CI/CD pipelines
• Monitoring, performance tracking, and optimization
• Support and enhance production-level machine learning solutions
• Partner cross-functionally with data, engineering, and business teams
• Help define and standardize ML operational frameworks and workflows
• Collaborate with distributed teams to drive execution and delivery