Staff ML Ops Engineer Platform Architect & Scale Leader

Monogram Health

Brentwood (TN)

Presencial

USD 180.000 - 250.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Medical, dental and vision
401(k) with employer match
Employee assistance program

Descripción de la vacante

Monogram Health is seeking a Staff Engineer, Machine Learning Operations to architect and scale enterprise ML infrastructure and deployment pipelines powering clinical initiatives. You will own end-to-end ML lifecycle, drive MLOps standards, and mentor teams while balancing innovation with production reliability.

You'll lead integration of cutting-edge tools, establish SLAs, and ensure compliant, secure systems handling healthcare data with HIPAA awareness.

Formación

  • 10+ years in software engineering with 5+ years focused on ML infrastructure, MLOps, or production ML systems.
  • 5+ years of Python development with strong software engineering fundamentals.
  • 3+ years architecting and deploying production ML systems on cloud platforms (Azure preferred).
  • Proven track record building and scaling ML platforms from the ground up.
  • Healthcare or regulated industry experience strongly preferred.

Responsabilidades

  • ML Platform Ownership: Architect and maintain enterprise-grade ML infrastructure, including model versioning, automated testing frameworks, containerization strategies, CI/CD pipelines, and monitoring for model performance, data quality, and drift detection.
  • Technical Leadership: Drive MLOps strategy and standards; mentor data scientists and engineers on production best practices and scalable architecture.
  • End-to-End Model Lifecycle: Own journey from model development to production, incl. real-time and batch inference, A/B testing, and automated retraining pipelines.
  • Cross-Functional Partnership: Collaborate with clinical leaders, product teams, and data scientists; present strategies to executives.

Conocimientos

ML infrastructure
Python development
Cloud platforms
Data engineering
MLOps tooling
System scalability
Production ML
Team mentorship

Educación

Bachelor's degree in CS/Engineering
Master's degree preferred

Herramientas

Docker
Kubernetes
Airflow
Prefect
Terraform
MLflow

Descripción del empleo

Monogram Health is seeking a Staff Engineer, Machine Learning Operations to architect and scale enterprise ML infrastructure and deployment pipelines powering clinical initiatives. You will own end-to-end ML lifecycle, drive MLOps standards, and mentor teams while balancing innovation with production reliability.

You'll lead integration of cutting-edge tools, establish SLAs, and ensure compliant, secure systems handling healthcare data with HIPAA awareness.

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