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
• Hands-on experience in MLOps, ML Engineering, or related disciplines
• Strong understanding of ML lifecycle management and operational best practices
• Experience supporting production machine learning environments
• Proven ability to work in ambiguous or greenfield environments
• Experience with modern data platforms and ability to adapt to new technologies