ML Ops Engineer - Hybrid
About The Position
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! ModMed'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. ModMed is hiring a 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. If you're excited about bringing machine learning to life through clean code, automation, and infrastructure excellence, we want to talk.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent experience.
- 5+ years in DevOps, 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., SageMaker, Spark).
- Hands-on with Terraform and CI/CD automation tools.
- Familiar with container orchestration (Kubernetes) and serverless architecture.
- Observability skills using DataDog or similar tools.
- Clear communicator with a collaborative, mentoring mindset.
Responsibilities
- 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 GitHub and IaC tools.
- Improve observability of model performance and pipeline health with DataDog.
- 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.
Benefits
- 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 make your special day even more memorable, and company-paid holidays to recharge and unwind.
- Comprehensive medical, dental, and vision benefits
- 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep.
- Generous Paid Time Off and Paid Parental Leave programs,
- Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs,
- Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed,
- Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning,
- Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles,
- Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
