AI Engineering Lead - Scale ML & Foundation Models

Mastercard; Dublin; On-site; EUR 140,000 - 210,000; Full time

Job summary

Mastercard is seeking a Lead Data Scientist in AI Engineering to spearhead the development of advanced ML solutions across domains. The role combines predictive modelling, experimentation, and technical leadership to deliver measurable business impact.

You will apply foundation-model techniques, lead ML projects from concept to deployment, and mentor teams while collaborating with product, engineering, and analytics to prioritise opportunities and deliver value.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field.
• 8+ years of experience in machine learning, data science, AI, or advanced analytics.
• Experience developing and deploying machine learning models in production environments.
• Experience leading technical projects or teams.

Responsibilities

• Lead the design, development, and deployment of machine learning solutions that solve high-impact business problems.
• Define modelling approaches, experimentation frameworks, and success metrics for AI initiatives.
• Apply foundation-model embeddings and modern machine learning techniques to improve model performance and accelerate development.
• Drive projects from problem definition through model deployment and business impact measurement.
• Establish robust evaluation frameworks and benchmark new approaches against existing solutions.
• Partner with business, product, engineering, and analytics teams to identify and prioritise opportunities.
• Present technical findings and recommendations to stakeholders and senior leadership.
• Mentor and develop data scientists and AI engineers through technical guidance, reviews, and coaching.
• Contribute to hiring, capability development, and the long‑term technical direction of the AI organisation.

Skills

ML & analytics

Python

SQL

ML frameworks

Embeddings

Foundation models

Communication

Education

Bachelor's degree in CS/DS/Math/Engineering

Tools

Databricks

Spark

Azure

AWS

GCP

Job description

Mastercard is seeking a Lead Data Scientist in AI Engineering to spearhead the development of advanced ML solutions across domains. The role combines predictive modelling, experimentation, and technical leadership to deliver measurable business impact.

You will apply foundation-model techniques, lead ML projects from concept to deployment, and mentor teams while collaborating with product, engineering, and analytics to prioritise opportunities and deliver value.