Remote ML Engineer - Health AI & MLOps

Solventum; Austin (TX); Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive pay

Health benefits

Flexible work hours

Remote work opportunities

Job summary

A healthcare technology firm seeks an ML Engineer responsible for building AI pipelines in Healthcare Information Systems. The ideal candidate will have 3-5 years of experience in engineering roles with a focus on machine learning production environments. Strong proficiency in Python and familiarity with cloud infrastructure is essential. This remote position also requires the ability to deploy ML models as APIs and integrate them into healthcare applications. Competitive pay and benefits are provided.

Qualifications

• 3–5 years of professional experience in software engineering or data engineering.
• At least 2 years focused on machine learning production environments.

Responsibilities

• Building and maintaining pipelines for AI in Healthcare Information Systems.
• Deploying ML models as scalable APIs and microservices.
• Implementing monitoring tools for model performance.

Skills

MLOps

Data Reliability

Production Stability

Python

SQL

Containerization

Cloud Infrastructure

Education

Bachelor's or Master’s degree in Computer Science

Tools

Docker

Kubernetes

AWS

Azure

GCP

MLflow

PyTorch

Scikit-learn

Job description

A healthcare technology firm seeks an ML Engineer responsible for building AI pipelines in Healthcare Information Systems. The ideal candidate will have 3-5 years of experience in engineering roles with a focus on machine learning production environments. Strong proficiency in Python and familiarity with cloud infrastructure is essential. This remote position also requires the ability to deploy ML models as APIs and integrate them into healthcare applications. Competitive pay and benefits are provided.