ML Engineer — Remote Production AI for Healthcare

USA Solventum Health Information Systems, Inc.; Pennsylvania; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Solventum is seeking an ML Engineer to build and maintain the pipelines powering AI in Healthcare Information Systems. You will bridge data science and software engineering with automated workflows, cloud infrastructure, and secure, scalable AI services.

The role emphasizes MLOps, data reliability, and production stability, requiring collaboration across teams and adherence to regulatory standards. Remote travel up to 10% and on-site onboarding are noted in the posting.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• 3-5 years of professional experience in software engineering or data engineering, with at least 2 years focused on machine learning production environments.
• Strong proficiency in Python and familiarity with SQL.
• Knowledge of a compiled language (like Go or Java) is a plus.
• Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and containerization (Docker).
• Familiarity with ML libraries (PyTorch or Scikit-learn) and MLOps tools (like Airflow, Prefect, BentoML, or Kubeflow).
• Experience with data processing frameworks (like 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 models.
• Deploy ML models as scalable APIs and microservices.
• Implement monitoring for model performance and data drift.
• Develop ETL pipelines transforming healthcare data (FHIR/HL7).
• Maintain feature stores and data layers.
• Integrate ML outputs into core healthcare apps.
• Write clean Python and participate in code reviews.
• Containerize workloads with Docker and Kubernetes.
• Follow HIPAA and HITRUST security standards.

Skills

Python

SQL

ML production

Docker

Kubernetes

Cloud Platforms

PyTorch

Scikit-learn

LangChain

API design

Data Pipelines

LLMs

HIPAA/HITRUST

Education

BS or MS in CS/SE/DE

Tools

MLflow

Airflow

Kubeflow

Prefect

BentoML

Pandas

Spark

dbt

Job description

Solventum is seeking an ML Engineer to build and maintain the pipelines powering AI in Healthcare Information Systems. You will bridge data science and software engineering with automated workflows, cloud infrastructure, and secure, scalable AI services.

The role emphasizes MLOps, data reliability, and production stability, requiring collaboration across teams and adherence to regulatory standards. Remote travel up to 10% and on-site onboarding are noted in the posting.