Senior Machine Learning Engineer

11 hours 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 and cross-functional teams to design and implement data pipelines and infrastructure
  • Design, build, and manage data pipelines and infrastructure to collect, store, and process large volumes of transactional and customer data
  • Deploy models to production systems and operate them, including monitoring and troubleshooting
  • Ensure data quality, security, and availability for data, notebooks, models, experiments, and applications
  • Integrate ML models with the SaaS platform and other services and tools
  • Collaborate with data scientists to develop and test machine learning models
  • Drive code reviews to ensure code quality, maintainability, and adherence to coding standards
  • Provide live on-call support and participate in the team on-call rotation
  • Partner with cross-functional teams to bring ideas to life
Requirements
  • Bachelor's degree in Computer Science or equivalent education and 3+ years of relevant professional experience or advanced degree such as a master's or PhD
  • Experience leading projects from architectural design to production, while setting and maintaining high standards of technical excellence across your team
  • Effective communication and collaboration skills, and a history of collaborating effectively with your team and cross-functional stakeholders
  • Excellent communication and cross-functional collaboration skills to thrive in a fast-paced environment
  • Experience with data management, data, and build pipelines
  • Experience with building and deploying machine learning models
  • Experience with AWS, Snowflake, Databricks or similar technologies
Preferred Qualifications
  • Typical qualifications for the role are 7+ 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 is helpful
  • Proficiency in modern development frameworks and languages (e.g., Java, Python, Go)
  • Proven ability to self-direct your technical work and scope projects effectively
  • Experience leading and mentoring junior engineers
  • Excellent communication and collaboration skills to influence both technical and non-technical stakeholders
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Experience with version control systems (Git), and DevOps practices like continuous integration and continuous delivery (CI/CD)
  • A strong understanding of security best practices for building enterprise applications


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