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Form of work
SalaryMayo 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
It is an exciting time at Mayo Clinic, as we are building the most trusted generative AI and LLM-based solutions to empower our staff, improve our practice, and transform healthcare. To accelerate our generative AI strategy, we are forming a cross functional team of technical experts. This team will be responsible for:
- Providing temporary tiger-team efforts to accelerate key initiatives.
- Expanding the organization’s understanding of LLM technology through:
- Development of best practices, knowledge assets, and code examples to accelerate the efforts of others.
- Execution of technical proofs of concept and exploration.
- Providing consultations, presentations, and sharing of knowledge across Mayo Clinic to technical and non-technical audiences.
The successful candidate should have experience in AI frameworks and Machine Learning models including training, experiment management, performance tuning, and production monitoring. Candidates must have interpersonal skills, including well-developed written and verbal communication, and collaborate well with both practice and technical resources. Preferred candidates will be well-versed in data science, familiar with state-of-art ML toolsets, and experienced in model build, testing, and automation of data pipelines. Knowledge of cloud technologies, high-performance computing, and job scheduling is beneficial.
Roles and Responsibilities
Build, test and maintain the infrastructure and tools to facilitate the consistent and automated AI software solution development and release process.
Design, build and maintain the ML CI/CD pipeline that automates data collection, data analysis, experimentation, model training, model serving and monitoring in production. Achieve continuous delivery of AI software solution and updates to production at scale.
Provide direction to more junior engineers.
Collaborate with data scientists, engineers, product teams and other key stakeholders.
Actively seek ways to improve software development and operation process.
This position will accept applications until 4/4/2024. 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.
The preferred qualifications for this position include:
- Familiarity with AI frameworks such as TensorFlow and PyTorch
- Desired experience with image processing or large language models
- Desired experience with Google Cloud AI tools including Vertex AI
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 daytime hours The employee must live within the United States
Weekend Schedule
NA
International Assignment
No
Site Description
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
