Machine Learning Engineer, MLOps Engineer (Remote) at Experian | Job Details


Job Title	Machine Learning Engineer, MLOps Engineer (Remote)
Company	Experian
Job Location
Workplace Type
Job Type	fulltime
Job Category	Information Technology and Engineering
Min Pay	133109
Max Pay	239596
Pay Currency	USD
Pay Cycle	yearly
First Seen	13 day(s) ago
Description	Job Posting - Salary Range: $133109 - $239596 Company Description 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 digital marketing solutions and gain deeper insights into the automotive market all using our unique combination of data analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. We operate across a range of markets from financial services to healthcare automotive agrifinance insurance and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN) we have a team of 23300 people across 32 countries. Our corporate headquarters are in Dublin Ireland. Learn more at experianplc.com. 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. You'll 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 Bachelor's 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) Benefits/Perks Additional Information 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: https://yourexperianbenefits.com/cand-index.html Our uniqueness is that we celebrate yours. Experian's 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. Experian's people first approach is award-winning World's 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 Experian's 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. This is a remote position.
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Job Title

Machine Learning Engineer, MLOps Engineer (Remote)

Company

Experian

Job Location

Workplace Type

Job Type

fulltime

Job Category

Information Technology and Engineering

Min Pay

133109

Max Pay

239596

Pay Currency

USD

Pay Cycle

yearly

First Seen

13 day(s) ago

Description

Job Posting - Salary Range: $133109 - $239596 Company Description 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 digital marketing solutions and gain deeper insights into the automotive market all using our unique combination of data analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. We operate across a range of markets from financial services to healthcare automotive agrifinance insurance and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN) we have a team of 23300 people across 32 countries. Our corporate headquarters are in Dublin Ireland. Learn more at experianplc.com. 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. You'll 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 Bachelor's 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) Benefits/Perks Additional Information 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: https://yourexperianbenefits.com/cand-index.html Our uniqueness is that we celebrate yours. Experian's 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. Experian's people first approach is award-winning World's 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 Experian's 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. This is a remote position.

Apply Now

Job details