Job Detail
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Job ID 590
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Offered Salary 10770
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Experience 7 Years
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Gender Male
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Industry Development
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Qualifications Degree Bachelor
Job Description
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed. Responsibilities Senior MLOps/DevOps Engineers at Mayo Clinic serve at the union of data, systems, and computer sciences as part of product teams that design, develop, and deploy AI-driven solutions to improve patient health and clinic operations. Senior MLOps/DevOps Engineers may work with knowledge architects, informaticians, and clinicians within Mayo, as well as partnered outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Build, test and maintain the infrastructure and tools to facilitate the consistent and automated AI software solution development and release process. This position will accept applications until 5/7/2024. This deadline may be extended if the necessary candidate pool is not met by this date. Qualifications Bachelor’s degree in Computer Science or a related field with 7 years of experience. Or Master’s degree in Computer Science or a related field with 5 years of experience. Strong DevOps, Data Engineering and ML background. Familiar with best practices in the data engineering and MLOps community. Experience building and maintaining CI/CD pipelines. Demonstrated experience on a broad range of DevOps tools such as Ansible, Docker, Kubernetes, Jenkins etc. Experience building, deploying and maintaining ML models in production. Experience with MLOps tools such as ModelDB, MLFlow and Kubeflow. Familiarity with python tools for data science. Experience with cloud infrastructure. Experience with Google Cloud Platform a plus. Excellent communication and teamwork skills. Ability to collaborate effectively with internal business stakeholders, outside partners and technology teams. Exemption Status Exempt Compensation Detail $128,502.40 – $186,264.00/ year. Education, experience and tenure may be considered along with internal equity when job offers are extended. Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details M-F, 8am-5pm The employee must live within the United States. Weekend Schedule N/A International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Affirmative Action and Equal Opportunity Employer As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available. Recruiter Laura Percival
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