Remote ML Engineer - MLOps & Production Systems

Solventum; Pennsylvania; Remote; USD 110,000 - 145,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Work-from-home flexibility

Job summary

A leading healthcare solutions provider in the United States seeks an ML Engineer passionate about MLOps and data reliability. You will build and maintain pipelines for AI in Healthcare Information Systems, deploy ML models securely, and develop ETL processes. The ideal candidate holds a Bachelor's or Master's degree, has 3-5 years of experience in data or software engineering, and skills in Python, SQL, AWS, and Docker. This role offers remote work opportunities and a chance to improve patient lives.

Qualifications

• 3–5 years of professional experience in software engineering or data engineering.
• At least 2 years focused on machine learning production environments.
• Experience working in a regulated environment like healthcare.

Responsibilities

• Build and maintain CI/CD pipelines for machine learning.
• Deploy ML models as scalable APIs and microservices.
• Develop and optimize ETL processes for healthcare data.

Skills

MLOps

Data Reliability

Production Stability

Python

SQL

Docker

Kubernetes

Machine Learning Libraries

Education

Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or related field

Tools

AWS

Azure

GCP

Job description

A leading healthcare solutions provider in the United States seeks an ML Engineer passionate about MLOps and data reliability. You will build and maintain pipelines for AI in Healthcare Information Systems, deploy ML models securely, and develop ETL processes. The ideal candidate holds a Bachelor's or Master's degree, has 3-5 years of experience in data or software engineering, and skills in Python, SQL, AWS, and Docker. This role offers remote work opportunities and a chance to improve patient lives.