Remote MLOps Engineer - Healthcare AI Pipelines

Solventum; Pittsburgh, Northern (Allegheny County, KY); Hybrid; USD 124,000 - 171,000; Full time

Benefits offered by this job

Remote work

Travel up to 10% domestically

Comprehensive benefits

Job summary

Solventum is seeking an experienced ML Engineer to design and maintain ML pipelines powering healthcare AI. You will bridge data science and software engineering, deploying models as scalable services while ensuring reliability, security, and compliance.

A remote-friendly role offers opportunities to work across teams and regions. You will contribute to MLOps, data reliability, and production stability, leveraging Python, AWS, Docker/Kubernetes, and modern ML tools.

Qualifications

• Bachelor’s degree or higher in CS/Software/Data Engineering or related field.
• 6+ years of software or data engineering experience with 5 years Python/SQL.
• 2+ years in ML production environments and 5 years AWS/containerization.

Responsibilities

• Build and maintain CI/CD pipelines for ML with automated testing and deployment.
• Deploy ML models as scalable APIs and microservices with performance targets.
• Monitor model performance, data drift, and production health.

Skills

Python programming

SQL proficiency

AWS cloud

Containerization

Java

ML libraries

MLOps tools

Data processing

CI/CD

Software engineering

Education

Bachelor’s degree or higher in CS/SE/Data Eng

Tools

Docker

Kubernetes

Airflow

Prefect

Kubeflow

BentoML

Job description

Solventum is seeking an experienced ML Engineer to design and maintain ML pipelines powering healthcare AI. You will bridge data science and software engineering, deploying models as scalable services while ensuring reliability, security, and compliance.

A remote-friendly role offers opportunities to work across teams and regions. You will contribute to MLOps, data reliability, and production stability, leveraging Python, AWS, Docker/Kubernetes, and modern ML tools.