Machine Learning Engineer, MLOps Engineer (Remote)
Machine Learning Engineer, MLOps Engineer (Remote)
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1 Vacancy
Job Description
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:
- Great compensation package and bonus plan
- Core benefits including medical dental vision and matching 401K
- Flexible work environment ability to work remote
- Flexible time off including volunteer time off vacation sick and 12-paid holidays
- Explore all our exciting benefits here: uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
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. Innovation is an important part of Experians DNA and practices and our inclusive workforce allows everyone to succeed and bring their whole self to work. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
#LI-Remote
This is a remote position.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Department / Functional Area
Product Development
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
