Senior Machine Learning Engineer @ Mastercard | Jobright.ai
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Senior Machine Learning Engineer jobs in Miami, FL
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Mastercard · 5 days ago

Senior Machine Learning Engineer

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Responsibilities

Work with data scientists and AI strategists to develop requirements for production models
Design and develop robust applications to manage production models
Collaborate with data governance and technical teams to ensure compliance with Mastercard AI and engineering standards
Manage the full CI/CD cycle for live models including testing and deployment
Manage label feedback and model retraining processes
Develop logging, alerting, and mitigation strategies for handling model errors
Collaborate with data scientists to design and develop drift detection and accuracy measurements for live models
Collaborate with DS and Machine Learning engineering leadership to develop coding standards and practices across the applied AI team
Research, test, and help train the team on using leading-edge AI platforms, such as auto Machine Learning libraries, graph databases, and cloud execution frameworks
Contribute to the team’s AI infrastructure strategy and management

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 engineeringPythonData product developmentAnalytical modelsModel governanceAI workflow management toolsStatistical modelingPredictive analyticsBig data technologiesHadoopSparkGraph databasesCloud computing platformsAWSAzureGoogle CloudSecurity standardsStructuredOrganized work planningProblem-solvingAgile practices

Required

2+ years of industry experience in Machine Learning engineering
Strong experience in Python
Experience in data product development, analytical models, and model governance
Experience with AI workflow management tools such as Airflow, Kedro, or Luigi
Exposure statistical modeling, machine learning algorithms, and predictive analytics.
Highly structured and organized work planning skills
Strong understanding of the AI development lifecycle and Agile practices
Proficiency in big data technologies like Hadoop, Spark, or similar frameworks. Experience with graph databases a plus.
Experience in working with cloud computing platforms like AWS, Azure, or Google Cloud.
Proven track record of delivering data products in environments with strict adherence to security and model governance standards.
Bachelor's degree in computer science, analytics, mathematics, statistics, economics, industrial engineering, or physical sciences.

Benefits

Insurance
Flexible spending account
Health savings account
Paid leaves
Bereavement leave
Paid sick days
Paid vacation days
Personal days
Paid U.S. observed holidays
401k with company match
Deferred compensation
Fitness reimbursement
Tuition reimbursement
Gender-inclusive benefits

Company

Mastercard

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Mastercard is a technology company in the payments industry.

Funding

Current Stage
Public Company
Total Funding
unknown
2006-05-25IPO· nyse:MA

Leadership Team

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Ajay Banga
President & CEO
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Frode Åsheim
EVP and CEO of Mastercard Payment Services
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Company data provided by crunchbase
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