Machine Learning Operations Engineer

About Mosai

Mosai is the intelligent care coordination platform that brings together the fragmented pieces of healthcare into a clear connected picture. Like a mosaic our platform unites data people and processes so providers can make better decisions coordinate care in real time and deliver improved outcomes. With Mosai home-based care organizations can thrive in value-based care while giving every patient the right care in the right place at the right time. Learn more at Summary

We are seeking an experienced Machine Learning Ops (MLOps) Engineer to architect develop and maintain the full lifecycle of data and model pipelines that power training inference evaluation and analytics workflows. This role is responsible for ensuring the reliability scalability and observability of all machine learning systems in production including traditional ML models and modern LLM-based/MCP-orchestrated architectures. A key focus of this role in the near term is auditing and consolidating our existing pipelines and deployment processes. The ideal candidate is highly skilled in Python Jupyter Snowflake and both Azure and AWS cloud environments and thrives in environments requiring continuous monitoring rapid issue diagnosis and rigorous validation before deployment.

Job Duties

• Design build and maintain scalable data pipelines supporting model training inference batch processing and real-time analytics workflows.
• Audit refactor and consolidate existing ML pipelines and deployment processes to eliminate technical debt redundant workflows and undocumented manual steps.
• Audit refactor and consolidate existing ML pipelines and deployment processes to eliminate technical debt redundant workflows and undocumented manual steps.
• Monitor and deploy and deploy production ML pipelines to identify anomalies performance degradations or failures related to data quality logic defects or infrastructure issues.
• Execute rapid troubleshooting and root-cause analysis followed by timely remediation validation and full regression testing prior to redeployment.
• Collaborate with Data Science Engineering and Product teams to operationalize machine learning modelsincluding LLM-based and MCP-orchestrated systemsensuring seamless integration into production environments.
• Develop CI/CD workflows model deployment strategies and automated testing frameworks to support reliable repeatable releases.
• Implement and maintain observability tooling (logging monitoring alerting) to ensure high availability and traceability of ML systems.
• Manage and optimize cloud infrastructure across Azure and AWS for compute storage orchestration and security needs.
• Create and maintain documentation runbooks and best practices for model operations and system maintenance.
• Perform all other job-related duties as assigned.

Minimum Requirements

• Bachelors Degree in Computer Science Engineering or equivalent work experience.
• 57 years of combined experience in Data Engineering MLOps Machine Learning Engineering or related fields.
• Demonstrated experience operationalizing traditional ML models as well as LLM-based and MCP-orchestrated systems.
• Strong working knowledge of both Azure and AWS cloud platforms including compute orchestration networking and security best practices.
• Experience with CI/CD tools containerization (Docker) infrastructure-as-code and ML pipeline frameworks.
• Strong ability to diagnose and resolve pipeline failures data anomalies and complex system issues.

Advanced proficiency in Python Jupyter and common ML/analytics frameworks.

• Hands-on experience with Snowflake or similar cloud data warehousing environment.
• Excellent problem-solving skills attention to detail and a proactive self-directed work ethic.
• Strong communication skills and comfort working in fast-paced cross-functional environments.

Work Environment

• This role is preferred to be based in Nashville or Jacksonville near Mosais offices.

Physical Demands of Our Work Environment

• This position uses a computer and other office equipment as needed to perform duties. The in-office noise level in the work environment is typical of that of an office. Frequent interruptions may be encountered throughout the workday.
• The employee is required to either stand or sit talk and hear frequently required to use repetitive keying or hand motions.
• The physical demands are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Mosai is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin sex sexual orientation gender identity veteran status and disability or other legally protected status If you are unable to submit an application because of a incompatible assistive technology or disability please contact us at . We will make every effort to respond to your request for disability assistance as soon as possible.

Mosai is an E-verify employer. Your eligibility to work in the United States will be verified through the E-verify system if you apply and are selected for a position.

Required Experience:

IC