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Mastercard Logo Mastercard · IT - Software Development

Lead AI Engineer

Ireland, Dublin 18 · Job Posted July 03, 2026
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Job Description

We are seeking a highly skilled and visionary Lead Data Scientist to spearhead the development of advanced AI solutions that drive innovation and deliver measurable impact across the business. This role involves leading complex AI initiatives, architecting scalable machine learning systems, and mentoring a team of engineers and data scientists. The ideal candidate combines deep technical expertise with strategic thinking and strong leadership capabilities.

Job Responsibility

  • 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 conducting post-implementation reviews
  • Guide others to develop sophisticated AI models and engineering solutions (e.g., intelligent agents, recommendation engines, 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 develops technical talent via ongoing technical training, peer review, and mentorship

Requirements

  • Proven experience leading AI/ML projects from concept to production
  • Strong proficiency in Python, TensorFlow, PyTorch, and cloud platforms (e.g., 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
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