ML Engineer (Healthcare)

TL;DR

ML Engineer (Healthcare): Building and maintaining the pipelines that power AI in Healthcare Information Systems with an accent on MLOps, data reliability, and production stability. Focus on implementing automated workflows, managing cloud infrastructure, and ensuring AI services are secure and scalable.

Location: Remote (Pennsylvania, USA)

Company

hirify.global is a healthcare company focused on pioneering game-changing innovations at the intersection of health, material, and data science to improve patient lives.

What you will do

• Build and maintain CI/CD pipelines for machine learning, focusing on automated testing and model deployment using MLflow or Git.
• Deploy ML models as scalable APIs and microservices meeting clinical performance and latency requirements.
• Develop and optimize ETL processes to transform healthcare data (FHIR, HL7) into clean datasets for training and inference.
• Implement monitoring tools to track model performance, data drift, and system health in production.
• Collaborate with backend teams to integrate ML outputs into core healthcare applications.
• Manage and orchestrate ML workloads using Docker and Kubernetes.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• 3–5 years of professional software/data engineering experience, with at least 2 years in ML production environments.
• Strong proficiency in Python and familiarity with SQL.
• Hands-on experience with a major cloud provider (AWS, Azure, or GCP) and Docker.
• Familiarity with ML libraries (PyTorch, Scikit-learn) and MLOps tools (Airflow, Prefect, BentoML, or Kubeflow).
• Must be legally authorized to work in the USA without sponsorship (e.g., H1B status).

Nice to have

• Experience deploying Large Language Models (LLMs) or using frameworks like LangChain.
• Experience working in regulated environments such as Healthcare or Finance.
• Understanding of API design and microservices architecture.
• Knowledge of compiled languages like Go or Java.

Culture & Benefits

• Competitive pay and benefits regularly benchmarked against industry peers.
• Structured onboarding process including travel to a company location for orientation.
• Work environment guided by empathy, insight, and clinical intelligence.
• Equal opportunity employer commitment to diversity and inclusion.