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
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