Our Purpose

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 (https://www.mastercard.us/en-us/vision/who-we-are/diversity-inclusion.html) 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.

Title and Summary

Manager, Machine Learning Engineer

Overview:

As the Machine Learning Engineer of the Data Science & Engineering team, you will develop data products and solutions that sit atop vast datasets gathered by retail stores, restaurants, banks, and other consumer-focused companies. The challenge will be to create high-performance algorithms, cutting-edge machine learning techniques including deep learning, GenAI and intuitive workflows that allow our users to derive insights from big data that in turn drive their businesses with a keen eye for data privacy. You will have the opportunity to create high- performance analytic solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data.

Role:

• Leads teams in the creation of portfolio robust analytical solutions through effective use of Mastercard’s global data assets and software platform

• Experience in building, deploying, and maintaining production-level data- driven AI/ML application and data processing workflows or pipelines.

• Experience with testing frameworks and test-driven development(TDD) practices.

• Consults with clients/ stakeholders to understand and translate their needs into a data analyses and/or solution, ensuring that their requirements are accurately captured and technically feasible

• Guides others in comprehensive technical analyses and allocates work across teams to ensure the delivery of high quality and effective solutions

• Liaises with internal stakeholders (e.g., MA TECH, Data Strategy Management, AI governance) to identify and elaborate on opportunities as they relate to analytical solution development, feasibility, and other technical offerings

• Leads development of presentations and technical documentation

• Identifies and recommends opportunities to standardize and automate efforts to ensure quality and enable scaling of data analyses/ analytical solutions

• Meets project deadlines for accountable deliverables and anticipates delays or foreseeable barriers to progress and escalates issues when necessary

• Conducts due diligence quality assurance testing for prototypes and tools in stage and resolves reoccurring complex issues and bugs

• Ensure that all machine learning processes, from data preparation to model deployment, are well-documented for internal use and compliance.

• Mentors and guides junior developers

All about you:

• Expertise in Big Data Technologies: Proficiency in big data frameworks and tools such as Hadoop, Spark, Hive

• Technical Proficiency: Strong programming skills in languages such as Python and SQL. Experience with data visualization tools (e.g., Tableau, Power BI) and understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage is a plus.

• Advanced Analytical Skills: Strong applied knowledge and hands on experience in advanced statistical techniques, predictive modeling, machine learning algorithms, GenAI and deep learning frameworks. Familiarity with AI and machine learning platforms such as TensorFlow, PyTorch, or similar.

• Leadership and Strategic Planning: Proven experience in leading engineering teams, defining vision and strategy for data-driven initiatives, and driving projects from conception to implementation. Ability to mentor and develop talent within the team.

• Problem-Solving Skills: Strong analytical and critical thinking abilities to solve complex problems, along with the creativity to find innovative solutions.

• Communication and Collaboration: Excellent verbal and written communication skills, with the ability to explain complex analytical concepts to non-technical stakeholders. Experience in working cross-functionally with departments and flexibility to work as a member of a matrix based diverse and geographically distributed project teams.

• Project Management Skills: Proficiency in managing multiple projects simultaneously, with a focus on delivering results within tight deadlines.

• Responsible AI knowledge: Awareness of the principles and practices surrounding responsible AI, including fairness, transparency, accountability, and ethics in AI deployments.

• Innovation and Continuous Learning: A mindset geared towards innovation, staying abreast of industry trends, emerging technologies in big data and analytics, and continuously seeking opportunities for personal and professional growth.

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.