Find Software engineer ai tooling Jobs in Dublin, D

Senior AI Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
14d
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
Application Support Engineer
Millennium Management —Dublin, County Dublin
- Computer Science
- Java
- AWS
11d
Sr. Software Development Engineer, AWS DMS
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- Java
Lead Program Security Engineer
Mastercard —Dublin, County Dublin
- Full-time
- DevOps
- AI
- Leadership
Commercial Operations Engineer
Gambling.com Group —Dublin, County Dublin
- AI
- Communication skills
- Gym membership
Quick apply
Account Executive, Growth
Learnosity —Dublin, County Dublin
- €80,000–€100,000 a year
- Full-time
- Hybrid work
- Salesforce
- Master's degree
- AI
Quick apply
4d
Cloud Platform Lead
SoftCo —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
11d
Senior SRE, Ads
Reddit —Dublin, County Dublin
- On call
- Remote
- Linux
- Python
- Annual leave
Quick apply
Business Development Executive
Learnosity —Dublin, County Dublin
- €45,000–€50,000 a year
- Full-time
- Hybrid work
- Computer Science
- Sales
- Salesforce
Quick apply
4d
Director, Engineering - Comms Capture
Gong.io —Dublin, County Dublin
- Azure
- AWS
- AI
Quick apply
Lead Sales Engineering Specialist - Security
Fivetran —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Java
- SQL
- Annual leave
- Sick pay
Quick apply

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Based on your search for software engineer ai tooling

Senior AI Engineer
Mastercard —Dublin, County Dublin
Bachelor’s degree or equivalent practical experience in computer science, engineering, data science, or a related field.
14d
Application Support Engineer
Millennium Management —Dublin, County Dublin
Support projects end to end across Middle Office and Operations systems. Bachelor’s degree in Computer Science or a related field preferred.
11d

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Senior AI Engineer

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
14 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, d

Senior AI Engineer

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

Application Support Engineer

Sr. Software Development Engineer, AWS DMS

Lead Program Security Engineer

Commercial Operations Engineer

Account Executive, Growth

Cloud Platform Lead

Senior SRE, Ads

Business Development Executive

Director, Engineering - Comms Capture

Lead Sales Engineering Specialist - Security

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