Find Engineering internal ai transformation Jobs in Clondalkin, D

Lead AI Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- AWS
- AI
Fincrime Operations Manager
Microsoft —Dublin, County Dublin
- €80,000–€136,400 a year
- Full-time
- Bachelor's degree
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- AI
10d
Sr. SDE, Amazon Email Services
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
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Vice President, PI Capability Strategy
Optum —Dublin, County Dublin
- Full-time
- Engineering
- Bachelor's degree
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Data Director - Azure Data Modernisation and Fabric
PwC —Dublin, County Dublin
- Full-time
- Azure
- AI
- Leadership
Lead Security Architect - Flutter Functions
Flutter Entertainment —Dublin, County Dublin
- Full-time
- AWS
- Agile
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Commercial Graduate Sales Path - German Market (August start)
Salesforce —Dublin, County Dublin
- Full-time
- Sales
- Salesforce
- English
- Annual leave

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Lead AI Engineer

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Azure
Google Cloud Platform
AWS
AI
Leadership
Communication skills
Python

Full job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Lead AI Engineer

Overview:
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.
Role:
Responsible for developing AI-driven innovative analytical solutions and identifying opportunities to support business and client needs in a quantitative and scalable manner, facilitating informed recommendations and decisions. Activities include designing and deploying machine learning models, building intelligent systems, conducting performance analyses, ad hoc reporting, and AI-powered data visualizations.
In this position, you will:
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

All about you:
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

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.

Apply Now

Refine Your Search

engineering internal ai transformation jobs in clondalkin, d

Lead AI Engineer

Fincrime Operations Manager

Sr. SDE, Amazon Email Services

Vice President, PI Capability Strategy

Data Director - Azure Data Modernisation and Fabric

Lead Security Architect - Flutter Functions

Commercial Graduate Sales Path - German Market (August start)

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