ML Engineer (Healthcare AI)

Location: Remote in Pennsylvania, United States. Travel may include up to 10% domestic travel. Initial on-site onboarding at a designated company location is required for applicable new hires.

Company

hirify.global is a healthcare company developing solutions at the intersection of health, material, and data science.

What you will do

• Build and maintain CI/CD pipelines for machine learning, including automated testing, model deployment, and version control.
• Deploy machine learning models as scalable APIs and microservices for clinical use.
• Implement monitoring for model performance, data drift, and production system health.
• Develop ETL pipelines that transform FHIR and HL7 healthcare data for model training and inference.
• Build feature stores and data layers, and integrate ML outputs into healthcare applications with backend teams.
• Package and orchestrate ML workloads with Docker and Kubernetes while maintaining secure, reliable production systems.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• 3–5 years of professional software or data engineering experience, including at least 2 years in machine learning production environments.
• Strong Python skills and familiarity with SQL.
• Experience with at least one major cloud provider: AWS, Azure, or GCP; and hands-on Docker experience.
• Familiarity with PyTorch or Scikit-learn, plus MLOps tools such as Airflow, Prefect, BentoML, or Kubeflow.
• Must be legally authorized to work in the United States without employment visa sponsorship.

Nice to have

• Experience deploying large language models or using LangChain.
• Experience in a regulated environment such as healthcare or finance.
• Understanding of API design and microservices architecture.
• Knowledge of Go or Java, and experience with Pandas, Spark, or dbt.

Culture & Benefits

• Work remotely with support for healthcare-focused innovation and data-driven solutions.
• Benefits and well-being programs supporting physical and financial health.
• Company-paid travel and coordinated arrangements for required onboarding activities.
• Corporate policies and security standards support reliable and compliant work.