Machine Learning Engineer (Medtech)

TL;DR

Machine Learning Engineer (MLOps/AI): Developing end-to-end ML solutions and MLOps frameworks for kidney care management with an accent on scalable system architecture and model monitoring. Focus on implementing CI/CD pipelines, optimizing LLM-based capabilities, and ensuring high system reliability under production workloads.

Location: Remote, United States

Company

hirify.global is a kidney care management company partnering with physicians to reimagine healthcare and improve patient outcomes.

What you will do

• Develop end-to-end ML solutions, from defining technical requirements to implementing monitoring, logging, and maintenance workflows.
• Lead the design and implementation of MLOps frameworks, including CI/CD integration, drift detection, and retraining workflows.
• Collaborate with engineers, product managers, and clinicians to build and enhance ML products.
• Monitor production model performance, identify issues, and ensure strong test coverage.
• Develop and customize API integrations between cloud-based systems and ML services.
• Contribute to architectural decisions to ensure platforms meet compliance, performance, and scalability standards.

Requirements

• Must be based in the United States.
• Bachelor's degree in Computer Science, Data Analytics, Mathematics, or a related technical discipline.
• 3+ years of end-to-end ML development in production, including feature engineering and deployment.
• 3+ years of MLOps experience building production pipelines, model registries, and feature stores.
• 3+ years of experience with Python (production-grade) and SQL for analytical workloads.
• 2+ years of experience with distributed compute (Spark/Databricks) on Azure, AWS, or GCP.

Nice to have

• Experience with Databricks and infrastructure/networking.
• Production experience implementing LLM-based solutions, prompt design, and evaluation frameworks.
• Experience designing compliant ML platforms (HIPAA, SOC 2) and working with PHI/PII governance.

Culture & Benefits

• Mission-driven environment focused on reinventing healthcare to help patients live their best lives.
• Collaborative culture based on humility, joy, and delivering on promises.
• Strong commitment to diversity, equity, and inclusion in recruiting and workplace practices.
• Supportive atmosphere that encourages applying even if not meeting 100% of the listed qualifications.