Be an early applicantLess than 25 applicants
Mastercard · 3 days ago
Lead Machine Learning Engineer
Missouri, United States
Full-time
Onsite
Senior Level
Wonder how qualified you are to the job?
Maximize your interview chancesFinanceFinancial Services
Insider Connection @Mastercard
Responsibilities
Leading the deployment of machine learning models and associated data flows to production
Contributing to the automation of the model deployment process
Mentoring junior team members
Searching cleaning, aggregating large data sets from Cloudera Hadoop, Azure, Splunk
Application development and maintenance on Linux environments
Performing statistical data analysis
Iteratively training and retraining Machine Learning systems and models
Extending existing ML frameworks and libraries
Data visualization and story telling with Tableau, Jupyter, RShiny and/or d3s
Graph analytics with Python, R or TigerGraph
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.
Required
Experience working with Tiger Graph or other graph DB technologies
Programming with Python and/or R languages
Programming within ML Frameworks such as TensorFlow, PyTorch, scikit-learn, and/or Spark/ML
Model deployment with containers such as Kubernetes and/or Docker
Anomaly detection and model/data drift analysis affecting production ML models
Building and maintaining ML production pipelines
Solid verbal and written communication skills
Bachelor of Science in Computer Science, Engineering, or Mathematics or similar field
Proficient experience working as a machine learning engineer
Preferred
Experience with a Fortune 500 Company a plus
Benefits
Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
Flexible spending account and health savings account
Paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave)
10 annual paid sick days
10 or more annual paid vacation days based on level
5 personal days
10 annual paid U.S. observed holidays
401k with a best-in-class company match
Deferred compensation for eligible roles
Fitness reimbursement or on-site fitness facilities
Eligibility for tuition reimbursement
Gender-inclusive benefits and many more
Company
Mastercard
Mastercard is a technology company in the payments industry.
Founded in 1966
10,001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2006-05-25IPO· nyse:MA
Leadership Team
Ajay Banga
President & CEO
Frode Åsheim
EVP and CEO of Mastercard Payment Services
Recent News
2024-06-05
Fintech Singapore
2024-06-05
Company data provided by crunchbase
