Senior Machine Learning Ops Engineer

Responsibilities Kforce has a client that is seeking a Senior Machine Learning Ops Engineer in Cincinnati, OH. Summary: We are seeking a highly skilled MLOps Engineer to build, scale, and support our Google Vertex machine learning platform to enable a multi-model serving environment. This role is central to building reusable infrastructure components (i.e., infra as code), model deployment pipelines, and provide a collection of templates that accelerate model deployment, monitoring, and support for domain teams. Responsibilities: • Collaborate closely with data scientists, other MLOps engineers, and product teams to ensure that models are deployed efficiently that are observable, maintainable, and aligned with business goals • This work will empower domain teams to independently run, support, and monitor their models using platform-provided tools and best practices • Design and implement reusable modules and templates for model training, deployment, and monitoring across Vertex AI and other cloud platforms • Build and maintain scalable CI/CD pipelines for ML workflows, enabling rapid iteration and safe promotion across environments • Develop tooling and automation to support overall platform observability, including drift detection, performance tracking, request latency, and alerting • Partner with domain teams to onboard models into the platform, ensuring alignment with operational standards and SLAs • Maintain and evolve the feature store, model registry, and endpoint management systems to support high-throughput, low-latency inference • Collaborate with leadership to define and enforce governance policies, including versioning, rollback strategies, and access controls • Provide technical guidance and support to domain teams, enabling self-service capabilities and reducing operational bottlenecks • Work closely with data scientists to understand their needs and efficiently integrate their models into production systems Requirements • To be considered for this position, candidates must have experience in a similar role, or they must possess significant knowledge, experience, and abilities to successfully perform the responsibilities listed • Relevant education and/or training will be considered a plus 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.