Staff MLOps Engineer: AI Cloud Platform (Hybrid/Remote)

Modernizing Medicine, Inc.; Boca Raton (FL); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health benefits

401(k) matching

Paid time off

Parental leave

Life & disability

LinkedIn Learning access

Dog-friendly HQ

Hybrid office

Job summary

Modernizing Medicine (ModMed) seeks a Staff MLOps Engineer to bridge data science, ML engineering, and production systems. You will establish architecture and tooling for fast, reliable AI-enabled applications at scale, shaping model training, deployment, and lifecycle management.

You will drive observability, security, and cost-efficiency while mentoring teams and enabling self-service across product and platform groups. This hybrid role offers opportunities to influence enterprise AI strategy.

Qualifications

• 8+ years of experience in DevOps, MLOps, Software Engineering, or Cloud Architecture delivering and operating AI/ML systems at scale.

Responsibilities

• Architect and build a scalable developer enablement platform for deploying AI/ML models into production applications.
• Define reusable patterns for training, feature store integration, batch/real-time inference, and orchestration using Databricks, Airflow, and cloud services.
• Ensure IaC-based deployments across AWS accounts and environments.
• Lead serverless to Kubernetes migration for ML pipelines and drive CI/CD & GitOps standards.

Skills

Python

DevOps

MLOps

Cloud Architecture

Kubernetes

AWS

CI/CD

GitOps

DataDog

Leadership

Communication

Tools

MLflow

SageMaker

PyTorch

Spark

Databricks

Terraform

Job description

Modernizing Medicine (ModMed) seeks a Staff MLOps Engineer to bridge data science, ML engineering, and production systems. You will establish architecture and tooling for fast, reliable AI-enabled applications at scale, shaping model training, deployment, and lifecycle management.

You will drive observability, security, and cost-efficiency while mentoring teams and enabling self-service across product and platform groups. This hybrid role offers opportunities to influence enterprise AI strategy.