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Senior Software Engineer

2 months ago

Seattle, Washington, United States FIS Global Full time
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at FIS Global. As a key member of our Fraud Intelligence team, you will play a critical role in developing and deploying machine learning models to detect and prevent fraud on a global scale.

Key Responsibilities
  • Develop and deploy machine learning models to detect and prevent fraud
  • Collaborate with data scientists to develop and test machine learning models
  • Design, build, and manage data pipelines and infrastructure to collect, store, and process large volumes of transactional and customer data
  • Ensure data quality, security, and availability for the data, notebooks, models, experiments, and applications
  • Integrate ML models with the SaaS platform and other services and tools
  • Partner with cross-functional teams to bring ideas to life
Requirements
  • Bachelor's degree in Computer Science or equivalent education
  • 2+ years of relevant professional experience or advanced degree
  • Experience leading projects from architectural design to production
  • Effective communication and collaboration skills
  • Experience with data management, data pipelines, and machine learning models
  • Experience with AWS, Snowflake, Databricks, or similar technologies
Preferred Qualifications
  • 5+ years of relevant professional experience or a combination of work experience and advanced education
  • Deep expertise in at least one area of Machine Learning and AI
  • Experience with financial services data sources
  • Experience with MLflow and Feast or other Feature Stores
  • Proficiency in modern development frameworks and languages
About FIS Global

FIS Global is a leading fintech solutions company that processes over $40 trillion in transactions per year. We are committed to providing our employees with an exciting career opportunity and competitive compensation. We offer a range of benefits, including opportunities to innovate in fintech, tools for personal and professional growth, and a diverse and inclusive work environment.