Senior Machine Learning Engineer




Miami, FL

Why you should apply for a job to Mastercard:

  • 4.7/5 in supportive management
  • 69% say women are treated fairly and equally to men
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.


    Position summary

    ation to help reshape the digital economy so everyone can realize their ambitions. Technology is our product, and we pride ourselves in using the latest technologies to create secure, customer centric experiences.
    We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.

    The Senior Machine Learning Engineer will enable AI impact at scale by transforming prototypes into production-grade AI pipelines, maintaining models in production, and contributing to our AI platform and engineering practices.

    1/ Transform prototypes into production-grade models
    • 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

    2/ Maintain models in production
    • 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

    3/ Contribute to AI platform and engineering practices
    • 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

    All about you

    • 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.


    Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

    Corporate Security Responsibility

    All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

    • Abide by Mastercard's security policies and practices;

    • Ensure the confidentiality and integrity of the information being accessed;

    • Report any suspected information security violation or breach, and

    • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

    In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: 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.

    Pay Ranges
    O'Fallon, Missouri: $115,000 - $184,000 USD

    Miami, Florida: $115,000 - $184,000 USD

    Why you should apply for a job to Mastercard:

  • 4.7/5 in supportive management
  • 69% say women are treated fairly and equally to men
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.