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Mastercard

Processes payments across a global network

Director AI Engineer - Transformation Team

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Strong hands-on understanding of transformer architectures and generative artificial intelligence, including fine-tuning, prompting, embeddings, and evaluation.
  • Experience bridging model development and real-world application, translating artificial intelligence capabilities into business impact.
  • Solid engineering background, with familiarity in Python, machine learning frameworks such as PyTorch or TensorFlow, and production deployment patterns.
  • Experience working with data engineering and MLOps practices to support training, evaluation, and inference at scale.
  • Ability to align technical delivery to business priorities and measurable outcomes through stakeholder management.
  • Ability to operate in a fast-moving, evolving artificial intelligence landscape with ambiguity and shifting priorities.
  • Ability to articulate complex artificial intelligence concepts to technical and non-technical audiences.
  • Responsibility for information security, including abiding by security policies and practices, protecting confidentiality and integrity of accessed information, reporting suspected security violations or breaches, and completing mandatory security training.

Responsibilities

  • Develop and execute short-term and medium-term strategic plans for AI Engineering across Mastercard, aligning functional initiatives with organizational objectives and improving existing processes, programs, or policies.
  • Drive development and execution of short-term functional strategies for AI/ML teams, translating organizational priorities into actionable plans and deliverables.
  • Collaborate with product and business leaders to translate organizational needs into scalable AI solutions and operational strategies.
  • Oversee the machine learning engineering lifecycle of AI/ML projects, from architecture and design through deployment and monitoring, ensuring timely delivery within scope and budget.
  • Lead cross-functional teams in optimizing, fine-tuning, and deploying models that meet performance, robustness, and ethical standards, ensuring operational stability, scalability, and compliance of AI/ML systems, including model governance, ethical standards, and risk management.
  • Provide technical guidance and mentorship to senior technical leads, supporting their professional growth and technical excellence.
  • Work with product managers, data scientists, and business units to align AI/ML solutions with strategic objectives.
  • Define and refine best practices, standards, and methodologies for AI/ML optimization, deployment, and maintenance to ensure consistency and high-quality outputs.
  • Identify emerging trends, evaluate new technologies, and recommend investments in AI/ML capabilities.

About the Company

Mastercard

Processes payments across a global network

Mastercard operates a global payment network connecting financial institutions, merchants, businesses and consumers. It authorizes, clears and settles transactions between participating institutions, while banks issue Mastercard-branded cards and extend credit to their customers. Its services also include fraud detection, identity verification, payment tokenization, data analysis and consulting for organizations managing commerce and financial operations. The company earns network fees linked to payment volumes and processed transactions, along with fees for its services and solutions. Founded by a group of banks in 1966, Mastercard is headquartered in Purchase, within Harrison, New York.

Company size
10,001+
Company stage
IPO
Headquarters
Town of Harrison, New York
Founded
1966

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