Senior ML Ops Engineer - Hybrid

We are united in our mission to make a positive impact on healthcare. Join Us!

• South Florida Business Journal, Best Places to Work 2024
• Inc. 5000 Fastest-Growing Private Companies in America 2024
• 2024 Black Book Awards, ranked #1 EHR in 11 Specialties
• 2024 Spring Digital Health Awards, “Web-based Digital Health” category for EMA Health Records (Gold)
• 2024 Stevie American Business Award (Silver), New Product and Service:
  Health Technology Solution (Klara)

Who we are:

We Are Modernizing Medicine (WAMM )! We’re a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling , we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started!

Mod Med's global headquarters is based in Boca Raton, FL, with a growing office in Hyderabad, India, and a robust remote workforce across the US, Chile, and Germany.

Mod Med is hiring a Senior MLOps Engineer at Modernizing Medicine, you’ll help bridge the gap between data science and production systems. You’ll lead efforts to operationalize AI models—making them scalable, reliable, and easy to deploy. Your work will directly support innovation in our AI-driven products, with a heavy focus on automation, Python-based pipelines, and scalable cloud infrastructure.

Your role:

• Deploy and manage AI/ML models in production using modern MLOps practices.
• Build and optimize serverless pipelines using AWS Lambda, moving toward containerized EKS solutions.
• Support ML workflows on Databricks and other data processing platforms.
• Write robust Python code to support training, inference, and data transformation.
• Automate CI/CD for model delivery using Git Hub and IaC tools.
• Improve observability of model performance and pipeline health with Data Dog.
• Ensure scalable, secure, and cost-efficient infrastructure for ML systems.
• Collaborate with Data Scientists to productize models with reusable patterns.
• Maintain and evolve infrastructure-as-code (Terraform, Ansible) for ML services.
• Apply security best practices to protect sensitive data and ensure compliance.
• Mentor others on best practices in MLOps and scalable system design.

Skills & Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent experience.
• 5+ years in Dev Ops, MLOps, or Cloud Engineering with production ML deployment experience.
• Advanced Python skills—comfortable writing production-grade code and APIs.
• Strong AWS knowledge, especially Lambda, EKS, IAM, and cost optimization.
• Experience with Databricks or similar platforms (e.g., Sage Maker, Spark).
• Hands-on with Terraform and CI/CD automation tools.
• Familiar with container orchestration (Kubernetes) and serverless architecture.
• Observability skills using Data Dog or similar tools.
• Clear communicator with a collaborative, mentoring mindset.

This role is hybrid. On-call participation may be required to support production systems.

If you're excited about bringing machine learning to life through clean code, automation, and infrastructure excellence, we want to talk.

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Mod Med Benefits Highlight: At Mod Med, we believe it’s important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits:

India

• Meals & Snacks:
  Enjoy complimentary office lunches & dinners on select days and healthy snacks delivered to your desk,
• Insurance Coverage:
  Comprehensive health, accidental, and life insurance plans, including coverage for family members, all at no cost to employees,
• Allowances:
  
  Annual wellness allowance to support your well-being and productivity,
• Earned, casual, and sick leaves to maintain a healthy work-life balance,
• Bereavement leave for difficult times and extended medical leave options,
• Paid parental leaves, including maternity, paternity, adoption, surrogacy, and abortion leave,
• Celebration leave to…