Machine Learning Ops Engineer

Responsibilities Kforce has a client in need of a Machine Learning Ops Engineer in Westlake, TX. Responsibilities: • Deploy and manage machine learning models in production with scalability, reliability, and efficiency • Build automated workflows for model training, testing, and deployment using Jenkins, Docker, and Kubernetes • Design and maintain robust APIs for seamless model integration • Partner with data scientists, engineers, and stakeholders to translate requirements into technical solutions • Implement monitoring tools to track model performance and system health, optimizing as needed • Ensure all systems and models meet industry security standards and compliance requirements Requirements • Bachelor's or Master's degree in Computer Science, Engineering, or a related field • 3+ years of experience in MLOps, DevOps, or a related field with a focus on machine learning • 1+ years of experience developing solutions on the AWS cloud platform • Proficient in Python and/or Java, with strong coding and debugging skills • Exposure to continuous integration & delivery (CI/CD) practices • Proven experience with building container-based systems such as Docker 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.