MLOps Engineer Healthcare (Remote)
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Posted on:
4 hours ago
Vacancies:
1 Vacancy
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Job Summary
Reporting to the Director of Analytics the MLOps Engineer will join our team in building and scaling machine learning solutions that address critical challenges in the healthcare revenue cycle.
You will collaborate with data scientists software engineers and product teams to bring ML products from prototype to production with an emphasis on automation monitoring and continuous improvement.
You will:
- 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.
Qualifications :
- 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).
- Bachelors degree in Computer Science Engineering Data Science or a related field.
Additional Information :
Benefits/Perks:
- 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
- Explore all our exciting benefits here: Experian our people and culture set us apart. Were deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance development wellness collaboration and recognition we focus on what truly matters. Our people-first approach has earned us global recognition: Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work 2025 in 26 countries and Glassdoor Best Places to Work 2024 among others.
Want to see what life at Experian is really like Explore Experian Life on social or visit our careers site.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range individual pay is determined by work location and additional factors such as job-related skills experience and education. You will be also eligible for a variable pay opportunity.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal state and local law including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
#LI-Remote
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
About Company
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
