Mosai · 2 days ago
Machine Learning Operations Engineer
United States
Full-time
Remote
Senior Level
5+ years expMosai is a leading post-acute care technology platform focused on advancing intelligent patient care. They are seeking an experienced Machine Learning Ops (MLOps) Engineer to develop and maintain data and model pipelines, ensuring the reliability and scalability of machine learning systems in production.
Information Technology & Services
Responsibilities
Design, build, and maintain scalable data pipelines supporting model training, inference, batch processing, and real-time analytics workflows
Monitor 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 models—including LLM-based and MCP-orchestrated systems—ensuring 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
Qualification
Required
Bachelor's Degree in Computer Science, Engineering, Data Science, or equivalent work experience
5–7 years of combined experience in Data Science, MLOps, Machine Learning Engineering, or related fields
Advanced proficiency in Python, Jupyter, and common ML/analytics frameworks
Hands-on experience with Snowflake or similar cloud data warehousing environments
Strong working knowledge of both Azure and AWS cloud platforms, including compute orchestration, networking, and security best practices
Demonstrated experience operationalizing traditional ML models as well as LLM-based and MCP-orchestrated systems
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
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
Company
Mosai
Formerly Forcura and Medalogix, Mosai(TM) is the intelligent care coordination platform that brings together the fragmented pieces of healthcare into a clear, connected picture.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase