Healthcare ML Engineer – Production AI & MLOps

healthcare; Pittsburgh (Allegheny County); Remote; USD 106,000 - 146,000; Full time

Job summary

Solventum is seeking an ML Engineer to build and maintain the pipelines powering AI in our Healthcare Information Systems. You will focus on MLOps, data reliability and production stability, ensuring models run reliably in real-world clinical contexts and scale across platforms.

You will bridge data science and software engineering by implementing automated workflows, managing cloud infrastructure, containerized workloads with Docker and Kubernetes, and ensuring secure, compliant deployments

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering.
• 4 years of professional experience in software engineering or data engineering, with at least 2 years focused on machine learning production environments.
• 2 years of experience with Python and SQL.
• Knowledge of a compiled language (Go or Java).
• 2 years of hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and containerization (Docker).
• 2 years of experience with ML libraries (PyTorch or Scikit-learn) and MLOps tools (such as Airflow, Prefect, BentoML, or Kubeflow).
• 2 years of experience with data processing frameworks (such as Pandas, Spark, or dbt).
• Familiarity with deploying Large Language Models (LLMs) or using frameworks like LangChain.
• Experience working in a regulated environment (Healthcare, Finance, etc.).
• Understanding of API design and microservices architecture.

Responsibilities

• Build and maintain CI/CD pipelines for ML, with automated testing, model deployment, and version control (using MLflow or Git).
• Deploy ML models as scalable APIs and microservices, ensuring they meet performance and latency requirements for clinical use.
• Implement basic monitoring tools to track model performance, data drift, and system health in production.

Skills

Python

SQL

Go

Java

Cloud platforms

Docker

Kubernetes

PyTorch

Scikit-learn

MLflow

Git

Airflow

Kubeflow

Pandas

Spark

dbt

Education

Bachelor’s or Master’s in CS/Software/Data Eng

Tools

MLflow

Git

Kubernetes

Docker

Airflow

Prefect

Kubeflow

BentoML

Job description

Solventum is seeking an ML Engineer to build and maintain the pipelines powering AI in our Healthcare Information Systems. You will focus on MLOps, data reliability and production stability, ensuring models run reliably in real-world clinical contexts and scale across platforms.

You will bridge data science and software engineering by implementing automated workflows, managing cloud infrastructure, containerized workloads with Docker and Kubernetes, and ensuring secure, compliant deployments