Machine Learning Operations (MLOps) Engineer

Responsibilities 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 Requirements • 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 The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.