Senior Machine Learning Engineer

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. Mastercard is a world leading payments and technology company with the aspiration 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. Reporting to the Director of Applied AI and working the with the TST Applied AI team, the ML 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 ML 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 ML 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 ML 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. • Bachelors degree in computer science, analytics, mathematics, statistics, economics, industrial engineering, or physical sciences.