Senior Machine Learning Engineer II @ FIS | Jobright.ai
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Senior Machine Learning Engineer II jobs in Seattle, WA
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FIS · 1 week ago

Senior Machine Learning Engineer II

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BankingFinancial Services

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Responsibilities

Design, build, and manage the data pipelines and infrastructure that collect, store, and process large volumes of transactional and customer data from various sources.
Develop, deploy, and scale machine learning models and applications in production and lower environments
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, such as the model registry, feature store, data lake, and event streams.
Collaborate with data scientists to develop and test machine learning models.
Monitor and optimize machine learning models in production.
Govern the data in the pipeline.
Stay up-to-date with the latest developments in machine learning and data management.
Assist in setting roadmap direction of Fraud Intelligence.
Trains and mentors team members and clients.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine learning engineeringData managementData pipelinesBuilding machine learning modelsDeploying machine learning modelsManaging build pipelinesProgramming skills in PythonProgramming skills in JavaFinancial services data sourcesAWSSnowflakeDatabricksProblem-solvingCommunicationCollaborationMLflowFeastFeature Stores

Required

Bachelor's or Master's degree in Computer Science, Mathematics, Engineering or a related field.
10+ years of experience in machine learning engineering.
Experience with data management and data pipelines.
Experience with building and deploying machine learning models.
Experience with managing build pipelines.
Strong programming skills in Python and Java.
Strong problem-solving skills.
Excellent communication and collaboration skills.
Experience with financial services data sources.
Experience with AWS, Snowflake, Databricks is required.
Typically requires ten or more years of experience.

Preferred

Experience with MLflow and Feast or other Feature Stores is helpful.

Company

FIS focuses on retail and institutional banking, payments, asset and wealth management, risk and compliance, and outsourcing solutions.

Funding

Current Stage
Public Company
Total Funding
$2.5B
2022-07-06Post Ipo Debt· $2.5B
2018-05-22Post Ipo Equity· Undisclosed
2001-06-29IPO· nyse:FIS

Leadership Team

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Douglas McAllister
CEO | FIS Automotive Market Partner
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Stephanie Ferris
Chief Executive Officer and President
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