Find Software engineer ai tooling Jobs in Dublin West, D

Senior AI Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
10d
Automation Engineer (m/f/d)
ATS Automation Tooling Systems Inc. —DUBLIN 11, County Dublin
- Engineering
- English
- Bachelor's degree
Dev Ops Engineer
Accenture —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- System design
Software Architect
Holafly —Dublin, County Dublin
- Remote
- Spanish
- System design
- English
Senior AI Engineer
Marsh —Dublin, County Dublin
- Full-time
- Master's degree
- AI
- Communication skills
Software Engineer II
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- System design
- Java
Full Stack Developer
RWS Group —Dublin, County Dublin
- Full-time
- Microsoft Excel
- DevOps
- SQL
Lead Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- System design
- Java
Senior Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- System design
- Java
Senior Software Development Engineer
Foxit —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- System design
Quick apply
Software Engineering Manager
Viasat —Dublin, County Dublin
- Mentoring
- Agile
- AI
Senior QA Automation Engineer (AI-First)
Storyful —Dublin, County Dublin
- Full-time
- Master's degree
- SQL
- AWS
Senior Software Engineer - News Content Platform
Bloomberg —Dublin, County Dublin
- Computer Science
- System design
- Java
QA Engineer
CarTrawler —Dublin, County Dublin
- Hybrid work
- Microsoft Excel
- Analysis skills
- Project management
- Annual leave
- Employee assistance program
Lead Full Stack Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
Senior Site Reliability engineer
Guidewire Software —Dublin, County Dublin
- Weekend availability
- Oracle
- Computer Science
- DevOps
Staff Software Engineer - Client Apps
Dolby —Dublin, County Dublin
- System design
- JavaScript
- Software development
Account Executive, Growth
Learnosity —Dublin, County Dublin
- €80,000–€100,000 a year
- Full-time
- Hybrid work
- Salesforce
- Master's degree
- AI
Quick apply
8h
Senior Core Technologies Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home
6h
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree

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Senior AI Engineer

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
10 days ago

Qualifications

TensorFlow
Azure
Computer Science
Google Cloud Platform
AWS
Bachelor's degree
AI
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

Senior AI Engineer

Overview
Mastercard is seeking a Senior AI Engineer to design, build, and deploy high‑quality AI solutions that support key business and product initiatives. This role is hands‑on and delivery‑focused, contributing directly to the development of production AI systems while collaborating closely with product, data, and engineering partners.
As a Senior AI Engineer, you will work on well‑scoped AI initiatives, applying advanced machine learning and software engineering practices to move models from experimentation into reliable, performant production systems. This role represents a critical technical contributor level, with opportunities to grow toward technical leadership and broader system ownership.

Role
In this role, you will be responsible for building and operationalizing AI solutions
Key responsibilities include:

Design, develop, and deploy AI and machine learning models to solve defined business and product problems
Contribute to the development and optimization of transformer‑based and generative AI models, including fine‑tuning, evaluation, and inference workflows
Build and maintain data pipelines, feature engineering logic, and training workflows in collaboration with data engineering teams
Implement model serving and inference solutions, integrating models into downstream applications and APIs
Apply MLOps best practices, including experiment tracking, versioning, automated testing, monitoring, and model performance evaluation
Participate in code reviews, design discussions, and technical planning to ensure high‑quality, maintainable solutions
Collaborate with product managers and stakeholders to translate requirements into technical implementations
Support troubleshooting and performance tuning of models and AI systems in production environments
Continuously improve technical skills and stay current with advances in AI, ML frameworks, and engineering practices

All About You
Solid experience developing machine learning or AI solutions and deploying them into production environments
Strong proficiency in Python and experience with ML frameworks such as PyTorch and/or TensorFlow
Hands‑on experience with transformer‑based models (e.g. BERT‑style encoders, generative models, embeddings, or similar architectures)
Experience working with data pipelines and datasets, including data preparation, feature engineering, and training data management
Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud‑based ML tooling
Working knowledge of MLOps practices, including model deployment, monitoring, and lifecycle management
Strong software engineering fundamentals, including version control, testing, and code quality practices
Ability to collaborate effectively within cross‑functional teams and follow established architectural and engineering standards
Clear communicator with a growth mindset and interest in progressing toward broader technical ownership
Bachelor’s degree or equivalent practical experience in computer science, engineering, data science, 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

software engineer ai tooling jobs in dublin west, d

Senior AI Engineer

Automation Engineer (m/f/d)

Dev Ops Engineer

Software Architect

Senior AI Engineer

Software Engineer II

Full Stack Developer

Lead Software Engineer

Senior Software Engineer

Senior Software Development Engineer

Software Engineering Manager

Senior QA Automation Engineer (AI-First)

Senior Software Engineer - News Content Platform

QA Engineer

Lead Full Stack Engineer

Senior Site Reliability engineer

Staff Software Engineer - Client Apps

Account Executive, Growth

Senior Core Technologies Engineer

Director, Software Engineering

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