Software Engineer – MLOps at Mayo Clinic

CityRochester

StateMN

RemoteNO

DepartmentInformation Technology

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.

Benefits Highlights

Medical: Multiple plan options.
Dental: Delta Dental or reimbursement account for flexible coverage.
Vision: Affordable plan with national network.
Pre-Tax Savings: HSA and FSAs for eligible expenses.
Retirement: Competitive retirement package to secure your future.

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:
•    Building the most trusted generative AI and automation solutions to benefit patients worldwide.
•    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
•    Providing guidance across the Generative AI program workstreams as technical experts

Position Responsibilities:

•    Contribute to MLOps Infrastructure: You’ll help develop and maintain scalable and robust MLOps pipelines and platforms using cloud services (Azure, GCP, On-prem) and containerization technologies (Docker, Kubernetes).
•    Model Deployment & Monitoring: You’ll support the deployment of machine learning models into production environments and assist in establishing monitoring solutions for model performance, data drift, and system health.
•    Automation & CI/CD: You’ll work on automating the machine learning lifecycle, including data ingestion, model training, validation, and deployment using CI/CD practices.
•    Collaboration: You’ll collaborate closely with Data Scientists, Machine Learning Engineers, and other Software Engineers to understand their needs and provide MLOps solutions.
•    Documentation & Best Practices: You’ll contribute to documenting MLOps processes, best practices, and system architecture.
•    Troubleshooting & Support: You’ll participate in troubleshooting and resolving issues related to MLOps pipelines and deployed models.
•    Learn & Grow: You’ll continuously learn and stay updated with the latest MLOps tools, technologies, and methodologies.

This is a full-time hybrid position within the United States. Most work will be completed remotely but at times the incumbent will need to be on the Rochester, MN campus. Therefore the incumbent must live within a reasonable driving distance of the campus.

Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM. Incumbent must live within the United States.

Qualifications

Bachelor’s Degree in Computer Science/Engineering or related field; Or an Associates’ degree in Computer Science/Engineering or related field with an additional 2 years of experience as described below.

Have working knowledge and experience of Software Engineering with a minimum of internships and a minimum of 1 yr. of experience, or 2yrs of experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.). Demonstrated problem solving and time management skills. Possesses strong technical aptitude for designing and implementing software solutions. Experience with modern application development frameworks. Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Deep hands-on technical expertise, excellent verbal and written communication skills. Experience with Agile software development techniques. Preferred qualifications for this position include: Ability to use a wide variety of open-source technologies and cloud-based services. Experience with Google and Azure cloud environments. Experience in databases, analytics, big data systems or business intelligence products· Experience with building high-performance, highly available and scalable distributed systems. Experience developing software for healthcare related industries.

Preferred Qualifications:

1+ years of working experience implementing MLOps or platform engineering capabilities at enterprise level.
1+ years of working experiences with CI/CD pipeline and Kubernetes at enterprise level.
1+ years of working experience working with cloud AI/ML services (e.g. GCP Vertex AI, Azure ML).
Strong hands on experience working with Python (3+ years).
History of collaborating across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
Strong interpersonal, communication, and time management skills.
Experience with Agile software development techniques.
Masters in Machine Learning, Artificial Intelligent or Computer Science related fields + 1 year of hands-on project experience.
Experience applying AI and machine learning in production healthcare environments, highlighting an understanding of healthcare technology.
Experience working with large, complex, and heterogeneous data sets, preferably in healthcare.
Working experiences with various AI/ML tooling sets (e.g. Weights & Bias, Nvidia AI Enterprise, Prometheus, Grafana)
Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
Knowledge of the healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standards.
Familiarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks, with the ability to adapt these effectively to different project scenarios.

Exemption Status

Exempt

Compensation Detail

$91,000.00 – $140,462.40 / year

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

Schedule Details

Monday – Friday, 8am – 5pm

Weekend Schedule

As needed

International Assignment

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.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the “EOE is the Law”. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee’s Form I-9 to confirm work authorization.

Recruiter

Ted Keefe

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