Principal MLOps Engineer

🔥 7 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $142.8k - $196.3k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Solventum

WebsiteLinkedInAll Job Openings

10,000+ employees

⚕️ Healthcare Insurance

📚 Education

🧘 Wellness

Healthcare Insurance • Education • Wellness

Solventum is a healthcare-focused company renowned for its innovative solutions aimed at improving medical and oral care outcomes. The company offers a variety of medical technologies, including advanced wound care, surgical solutions, and sterilization products. Solventum also provides advanced oral care solutions, health information and technology services, and purification and filtration products for biopharmaceutical applications. Furthermore, Solventum places a strong emphasis on sustainability and education, providing resources and training for healthcare professionals globally. Their commitment to innovation and better healthcare has made them a leader in the healthcare industry, dedicated to enhancing patient safety and healthcare efficiencies.

📋 Description

• Lead the operational architecture, deployment strategy, and reliability engineering for integrating AI into high-stakes Healthcare Information Systems (HIS) • Define the enterprise operational standards, govern the release processes, and build the resilient infrastructure required to maintain models in mission-critical clinical environments • Architect and govern the comprehensive release process, defining enterprise checklists, automated approval gates, release notes, and deployment readiness standards • Establish the deployment execution standards for promoting AI across all environments and ensure customer deployments adhere to strict internal production discipline • Architect and oversee the enterprise model registry, ensuring seamless integration with CI/CD pipelines and full version control traceability • Define and enforce monitoring standards, establishing critical SLAs/SLOs, service health metrics, and comprehensive dashboards across the AI ecosystem • Architect automated checks for input/output data quality and model drift, ensuring proactive detection of system degradation • Establish and lead the production incident process, including rigorous triage workflows, severity escalation paths, postmortems, rollback mechanisms, and recovery infrastructure • Partner with Platform teams to provide essential ATO (Authority to Operate) and compliance support, ensuring complete deployment traceability and strict operational controls • Oversee comprehensive operational reporting, providing leadership with status updates across production systems, pre-prod testing, customer rollouts, and incident metrics • Foster a culture of production discipline, guiding junior engineers in maintaining operational runbooks and reliable deployment pipelines

🎯 Requirements

• Bachelor's Degree or Higher in Computer Science, Software Engineering, or related technical field • 10+ years of experience in software engineering, with at least 6 years dedicated to deploying and maintaining large-scale ML systems in production • Expert-level experience with Cloud Providers (AWS/GCP/Azure) and orchestration tools (Kubernetes, Kubeflow, or Airflow) • Expert-level Python and Java/Go (or similar) • Deep proficiency in backend frameworks, microservices, and system design patterns • Expert knowledge of monitoring stacks (Prometheus, Grafana, Datadog) and establishing enterprise SLAs/SLOs for AI services • Proven track record of designing automated deployment pipelines, managing complex rollback procedures, and enforcing model registry governance at scale.

🏖️ Benefits

• Medical • Dental & Vision • Health Savings Accounts • Health Care & Dependent Care Flexible Spending Accounts • Disability Benefits • Life Insurance • Voluntary Benefits • Paid Absences • Retirement Benefits