Lead AI Engineer

Overview

Lead AI Engineer - responsible for developing AI-driven analytical solutions, identifying opportunities to support business and client needs in a quantitative and scalable manner, and guiding a team of engineers and data scientists. The role involves leading complex AI initiatives, architecting scalable machine learning systems, and mentoring junior-level colleagues.

Responsibilities

• Lead complex initiatives and projects to derive insights and automation from AI models and systems to solve critical business questions.
• Translate client/stakeholder needs into AI driven technical solutions in collaboration with internal and external partners and present findings and outcomes to clients/stakeholders.
• Identify rich data sources and oversee the integration, cleaning, and transformation of datasets to ensure consistency and readiness for AI applications.
• Deliver high quality AI solutions and tools within agreed upon timelines and budget parameters, and conduct post implementation reviews.
• Guide others to develop sophisticated AI models and engineering solutions, such as intelligent agents, recommendation engines, and prototypes, utilizing advanced machine learning, deep learning, and generative AI techniques.
• Delegate and review work for junior level colleagues to ensure downstream applications and tools are not compromised or delayed.
• Serve as a technical coach for junior level colleagues and develop technical talent via ongoing training, peer review, and mentorship.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks come 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.

Qualifications

• Proven experience leading AI/ML projects from concept to production.
• Strong proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, GCP).
• Deep understanding of machine learning, deep learning, NLP, and MLOps.
• Experience with complex neural network architectures and transformer based models (e.g., BERT, GPT, ViTs) is strongly preferred.
• Experience with data architecture, model deployment, and performance tuning.
• Excellent communication and stakeholder management skills.
• Demonstrated ability to mentor and grow technical teams.