Machine Learning Ops Engineer 2

Summary

Join Modernizing Medicine (ModMed) as an ML Ops Engineer 2 and contribute to our mission of improving healthcare through intelligent, specialty-specific cloud platforms. Collaborate with data scientists and engineers to ensure seamless model deployment, monitoring, and automation. You will develop, deploy, and manage ML models on Databricks, set up scalable infrastructure, implement monitoring systems, and integrate model pipelines with data processing frameworks. This role requires experience with cloud platforms (AWS, GCP, Azure), MLOps tools (MLflow, Kubeflow, Airflow), and model deployment. ModMed offers a competitive benefits package including comprehensive medical, dental, and vision benefits, 401(k) matching, generous paid time off, life and disability insurance, professional development opportunities, and a collaborative work environment.

Requirements

• Experience with deploying models in production using cloud platforms like AWS Sagemaker, GCP AI Platform, or Azure ML Studio
• Experience with MLOps tools such as MLflow, Kubeflow, or Airflow to automate and monitor the lifecycle of machine learning models
• Experience with cloud-based machine learning services on AWS, Google Cloud, or Azure, ensuring that models are scalable and efficient
• Be skilled in measuring and optimizing model performance through metrics like AUC, precision, recall, and F1-score, ensuring that models are robust and reliable in production settings
• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, or a related technical field

Responsibilities

• Develop, deploy, and manage ML models on Databricks using MLflow for tracking experiments, managing models, and registering them in a centralized repository
• Set up scalable and fault-tolerant infrastructure to support model training and inference in cloud environments such as AWS, GCP, or Azure
• Implement monitoring systems to track model performance, accuracy, and drift over time
• Create automated systems for re-training and continuous learning to maintain optimal performance
• Collaborate with the data engineering team to integrate model pipelines with real-time and batch data processing frameworks, ensuring seamless data flow for training and inference

Benefits

• Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution
• 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
• High growth, collaborative, transparent, fun, and award-winning culture
• Comprehensive benefits package including medical for you, your family, and your dependent parents
• The company supported community engagement opportunities along with a paid Voluntary Time Off day to use for volunteering in your community of interest
• Global presence, and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability
• Company-sponsored Employee Resource Groups that provide engaged and supportive communities within ModMed