Find Security engineering ai/ml Jobs in Dublin, D

AI Engineer 2
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
5d
Applied Scientist, AI Ops Integration
Amazon EU SARL, Irish Branch —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
4d
Software Developer, Scaled Ops AI Acceleration Team
Meta —Dublin, County Dublin
- Full-time
- Computer Science
- Data analysis skills
- Master's degree
1d
Software Engineer III - AI & IoT
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- System design
- Java
2d
Newly/Nearly qualified actuary
AXA —DUBLIN 1, County Dublin
- SQL
- Communication skills
- Python
13d
Founding Full-Stack (Flutter and Java) Engineer
Grand Intelligence —Dublin, County Dublin
- Full-time
- Hybrid work
- Java
- AWS
- AI
Quick apply
Forward Deployed Engineer II, GCC (French, German)
Google —Dublin, County Dublin
- €76,000–€78,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
Director of AI Engineering
Mastercard —Dublin, County Dublin
- Full-time
- AI
- Communication skills
- Python
Senior AI Security Engineer (R-19324)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- English
- Microsoft Office
- Annual leave
Quick apply
Data Engineer III - Databricks
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- Agile
Data Engineering Team Lead - Databricks
G MASS —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- AWS
- Agile
Quick apply
Sr. SDE, Amazon Email Services
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- AWS
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
2d
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
3d
Software Development Engineer II — AWS DMS Schema Conversion Team, DMS Schema Conversion
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- Java
Forward Deployed Engineer III, GCC (French, German)
Google —Dublin, County Dublin
- €100,000–€103,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
Specialist, Product Management - AI
Mastercard —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Product management
3d
Forward Deployed Engineer III, Google Cloud Consulting (German, French)
Google —Dublin, County Dublin
- €100,000–€103,000 a year
- Full-time
- Spanish
- Doctoral degree
- Computer Science
2d
Investment Operations Analyst - Reconciliation Specialist (US Start of Day)
Ridgeline —Dublin, County Dublin
- Microsoft Office
- Finance
- AWS
Quick apply
5d
Senior Data Engineer — Lab Data Pipelines & Data Mesh
AstraZeneca —Dublin, County Dublin
- Computer Science
- Engineering
- Master's degree
9d

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AI Engineer 2

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
5 days ago

Qualifications

TensorFlow
CI/CD
Data modelling
Azure
Computer Science
Data structures
Google Cloud Platform
AWS
Analysis skills
Bachelor's degree
AI
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

AI Engineer 2

Overview
Mastercard is seeking an AI Engineer II to support the development and deployment of AI solutions that power strategic initiatives within the AI & Data organization. This role provides an opportunity to work on advanced AI technologies, including transformer-based and generative AI models, while contributing to the delivery of scalable, production-ready solutions.
Working closely with Senior, Lead, and Principal AI Engineers, you will help develop, evaluate, and operationalize AI capabilities that address real business challenges. This is a hands-on engineering role focused on building technical expertise, delivering high-quality solutions, and growing into greater levels of ownership and technical leadership.

Role
In this role, you will contribute to the development, testing, and deployment of AI and machine learning solutions across the program.
Key responsibilities include:

Develop and support AI and machine learning models under the guidance of senior team members
Contribute to the development and evaluation of transformer-based and generative AI solutions, including embeddings, tokenization, fine-tuning, and inference workflows
Build and maintain components of data preparation, feature engineering, and model training pipelines
Assist in creating and managing datasets required for model training, validation, and evaluation
Support the implementation and optimization of machine learning workflows and model-serving solutions
Help integrate AI models into applications, APIs, and production environments
Support model testing, validation, monitoring, and performance analysis to ensure quality and reliability
Apply established software engineering and MLOps best practices, including version control, testing, documentation, and deployment automation
Collaborate with AI engineers, data engineers, software engineers, and product teams to implement AI solutions
Troubleshoot issues related to model performance, data quality, and system functionality
Participate in code reviews, technical discussions, and knowledge-sharing activities
Stay current with emerging AI technologies, frameworks, and engineering best practices

All About You

2–5 years of experience in AI engineering, machine learning engineering, data science, software engineering, or a related technical field
Strong programming skills in Python
Experience using AI/ML frameworks such as PyTorch, TensorFlow, or similar technologies
Foundational understanding of machine learning, deep learning, and AI engineering concepts
Familiarity with transformer architectures, large language models, tokenization techniques, embeddings, and generative AI technologies
Experience working with data processing, feature engineering, and model training workflows
Familiarity with model evaluation techniques and performance measurement
Exposure to cloud-based development environments such as AWS, Azure, or GCP
Understanding of software engineering fundamentals, including testing, version control, CI/CD principles, and code quality practices
Familiarity with APIs and integrating machine learning models into applications is a plus
Knowledge of data structures, algorithms, and scalable computing concepts
Strong analytical and problem-solving skills
Effective communication and collaboration skills, with the ability to work in a cross-functional team environment
Demonstrated ability to learn new technologies quickly and adapt to evolving technical requirements
Bachelor's degree or equivalent practical experience in Computer Science, Engineering, Data Science, Mathematics, or a related field

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

security engineering ai/ml jobs in dublin, d

AI Engineer 2

Applied Scientist, AI Ops Integration

Software Developer, Scaled Ops AI Acceleration Team

Software Engineer III - AI & IoT

Newly/Nearly qualified actuary

Founding Full-Stack (Flutter and Java) Engineer

Forward Deployed Engineer II, GCC (French, German)

Director of AI Engineering

Senior AI Security Engineer (R-19324)

Data Engineer III - Databricks

Data Engineering Team Lead - Databricks

Sr. SDE, Amazon Email Services

Director of Software Engineering - Workplace Technology

Director, Software Engineering

Software Development Engineer II — AWS DMS Schema Conversion Team, DMS Schema Conversion

Forward Deployed Engineer III, GCC (French, German)

Specialist, Product Management - AI

Forward Deployed Engineer III, Google Cloud Consulting (German, French)

Investment Operations Analyst - Reconciliation Specialist (US Start of Day)

Senior Data Engineer — Lab Data Pipelines & Data Mesh

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