Join Our Team as Director, ML Engineering at Mastercard

At Mastercard, we're pioneering the future of a digital economy that inclusively connects and empowers everyone, everywhere. Our advanced security measures, partnerships, and innovative solutions ensure safe, simple, and accessible transactions. With a firm commitment to diversity and integrity, we're harnessing the potential of data-driven technologies to foster a culture of inclusion and propel our global impact.

Overview of the Role

As the Director of Machine Learning Engineering within our dynamic Data Science & Engineering team, you’ll lead the creation of cutting-edge analytical products over expansive datasets from various consumer-centric sectors like retail and banking. Your mission will be to develop and maintain robust machine learning solutions that leverage Mastercard's vast global data resources to drive significant business insights while prioritizing data privacy and governance.

Key Responsibilities

• Head talent acquisition, training, and performance management for a diverse team of experts.
• Design and deploy scalable AI/ML applications and data workflows.
• Collaborate closely with stakeholders to convert business needs into scalable data solutions.
• Ensure the delivery of high-quality solutions by leading technical reviews and workload management across teams.
• Develop technical documentation and presentations, and lead the standardization and automation of machine learning processes.
• Conduct rigorous quality assurance tests and address complex recurring issues.
• Document all machine learning processes for internal compliance and use.
• Provide mentorship and oversee the professional development of junior developers.

Who We Are Looking For

• Expertise in Big Data Technologies: Proficient with tools like Hadoop, Spark, and Hive.
• Technical Skills: Strong command over programming languages like Python and SQL, and familiarity with cloud services and data visualization tools.
• Advanced Analytical and Leadership Abilities: Experience in leading data science projects with a focus on strategic planning and team development.
• Excellent Communication: Ability to articulate complex solutions to a non-technical audience and thrive in cross-functional teams.
• Project Management Prowess: Skilled in handling multiple projects under tight deadlines.
• Innovative Mindset: Always on the lookout for new technologies and trends in big data and machine learning.

Corporate Security Responsibility

All team members at Mastercard are entrusted with the security of company assets and must adhere to our stringent security protocols, report security concerns, and complete mandatory security trainings as directed.

If you’re ready to drive technological innovation and lead a team towards achieving groundbreaking solutions at a global scale, apply today for the Director, ML Engineering position at Mastercard and help shape the future of digital transactions.