MLOps Engineer – Healthcare
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Job Description
MLOps Engineer at Experian building scalable machine learning solutions for healthcare revenue cycle optimization. Collaborating with cross-functional teams to productionize ML models and ensure compliance with standards.
Responsibilities:
- Design, build, and maintain scalable MLOps pipelines for model training, validation, deployment, and monitoring using AWS services
- Implement infrastructure as code and CI/CD workflows to support rapid experimentation and reliable production releases
- Collaborate with data scientists to productionize ML models and ensure reproducibility, versioning, and traceability
- Monitor model performance and data drift in production environments, and implement automated retraining and alerting mechanisms
- Optimize ML workflows using tools such as SageMaker, Airflow, Docker, Kubernetes (EKS), and Step Functions
- Ensure compliance with healthcare data standards and security best practices (e.g., HIPAA)
- Contribute to the continuous improvement of MLOps practices and advocate for automation and scalability across the ML lifecycle
Requirements:
- 3+ years of experience in MLOps, DevOps, or ML engineering roles
- 3+ years experience with AWS services for ML (e.g., SageMaker, Lambda, Step Functions, S3, ECR, CloudWatch)
- 3+ years Experience with ML lifecycle tools such as MLflow, TensorFlow Serving, or Kubeflow
- Proficiency with containerization and orchestration tools (Docker, Kubernetes/EKS)
- Experience with CI/CD pipelines, infrastructure as code (e.g., Terraform, CloudFormation), and monitoring/logging tools
- Experience working in collaborative, cross-functional teams
- Experience in the healthcare domain, especially with claims or EHR data, and familiarity with standards like ICD and CPT
- Exposure to NLP, Bayesian modeling, or real-time ML systems
- Familiarity with Agile development methodologies
- AWS certifications (e.g., Machine Learning Specialty, DevOps Engineer)
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
Benefits:
- Great compensation package and bonus plan
- Core benefits including medical, dental, vision, and matching 401K
- Flexible work environment, ability to work remote, hybrid or in-office
- Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
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