Machine Learning Engineer, MLOps Enginner (Remote)

Experian

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profile Job Location:

Any - USA

profile Monthly Salary: Not Disclosed
Posted on: 6 hours ago
Vacancies: 1 Vacancy

Department:

Product Development

Job Summary

We are looking for an experienced MLOps Engineer to build and scale machine learning solutions that address critical challenges in the healthcare revenue cycle. You will report to Experian Health and focus on operationalizing ML models ensuring deployment pipelines and maintaining scalable secure and ML infrastructure on AWS collaborate with data scientists software engineers and product teams to bring ML products from prototype to production with a emphasis on automation monitoring and continuous improvement.

  • Youll have opportunity to:
    • Develop 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
    • Improve 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)

Qualifications :

  • Bachelors degree in Computer Science Engineering Data Science or a related field
  • 3 years 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)
  • Proficiency with containerization and orchestration tools (Docker Kubernetes/EKS).
  • 3 years experience with ML lifecycle tools such as MLflow TensorFlow Serving or Kubeflow and with CI/CD pipelines infrastructure as code (e.g. Terraform CloudFormation) and monitoring/logging tools
  • 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)

Additional Information :

Benefits/Perks:

We are looking for an experienced MLOps Engineer to build and scale machine learning solutions that address critical challenges in the healthcare revenue cycle. You will report to Experian Health and focus on operationalizing ML models ensuring deployment pipelines and maintaining scalable secure an...
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Key Skills

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About Company

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Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, ... View more

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