MLOps Engineer

Employment Type: Full-time Location Type: Remote Salary: [Salary information not provided]

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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 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland.

Learn more at experianplc.com.

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Job Description

Experian Health is seeking 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 ML infrastructure on AWS. 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.

Your Opportunities:

• 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).

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Qualifications

Education:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

Experience:

• 3+ years of experience in MLOps, DevOps, or ML engineering roles.
• 3+ years of experience with AWS services for ML (e.g., SageMaker, Lambda, Step Functions, S3, ECR, CloudWatch).
• 3+ years of experience with ML lifecycle tools such as MLflow, TensorFlow Serving, or Kubeflow.
• 3+ years of experience 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.

Technical Skills:

• Proficiency with containerization and orchestration tools (Docker, Kubernetes/EKS).
• AWS certifications (e.g., Machine Learning Specialty, DevOps Engineer) are a plus.

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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, and sick leave.
• 12 paid holidays.

Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

Experian Culture:

Experian's uniqueness lies in celebrating yours. Our 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, and more. Experian's people-first approach is award-winning, recognized as:

• World's Best Workplaces™ 2024 (Fortune Top 25)
• Great Place To Work™ in 24 countries
• Glassdoor Best Places to Work 2024

Check out Experian Life on social media or our Careers Site to learn more.