Software Engineer - MLOps
Software Engineer - MLOps
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1 Vacancy
Job Description
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 organizations 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: Youll 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: Youll 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: Youll work on automating the machine learning lifecycle including data ingestion model training validation and deployment using CI/CD practices.
Collaboration: Youll collaborate closely with Data Scientists Machine Learning Engineers and other Software Engineers to understand their needs and provide MLOps solutions.
Documentation & Best Practices: Youll contribute to documenting MLOps processes best practices and system architecture.
Troubleshooting & Support: Youll participate in troubleshooting and resolving issues related to MLOps pipelines and deployed models.
Learn & Grow: Youll 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
Bachelors 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.
- Experiencewith Agile software development techniques.
- Masters in Machine Learning Artificial Intelligent or Computer Science relatedfields 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 clinicalworkflows electronic health records medical terminologies regulatory requirements and industry standards.
- Familiaritywith systems or quality engineering best practices regulatory standards and compliance frameworkswith the ability to adapt these effectively to different project scenarios.
Employment Type
Full-Time
