Find Software engineer ai tooling Jobs in Dublin, D

Senior AI Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
10d
Staff Engineer, Site Reliability
LearnUpon —Dublin, County Dublin
- On call
- AWS
- AI
- Annual leave
Senior Security Engineer
Cubic³ —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- Windows
Principal Engineer, Design Verification Engineering
Analog Devices —Dublin, County Dublin
- Full-time
- Master's degree
- Scripting
- Electrical Engineering
- Relocation assistance
ASIC Digital Design, Sr Engineer
Synopsys —Dublin, County Dublin
- Master's degree
- Bachelor's degree
- No degree
7d
Site Reliability Engineer III
Guidewire Software —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- DevOps
Senior DevSecOps Engineer
Kaseya Careers —Dublin, County Dublin
- Azure
- DevOps
- AWS
Quick apply
Senior Engineering Manager, Fin AI Agent
Intercom —Dublin, County Dublin
- Hybrid work
- AI
- Annual leave
- Work from home
Senior Manager, Engineering
Integral Ad Science, Inc. —Dublin, County Dublin
- €126,000–€216,000 a year
- Full-time
- Doctoral degree
- Computer Science
- System design
- Annual leave
Quick apply
7d
Director, Engineering - Comms Capture
Gong.io —Dublin, County Dublin
- Azure
- AWS
- AI
Quick apply
Team Lead Engineering - Developer Experience (Remote)
SoSafe —Dublin, County Dublin
- Full-time
- Remote
- AWS
- Leadership
- Referral programme
Production Engineer (Kubernetes)
Crusoe —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- Linux
Quick apply
EDA flow and Logic Synthesis Engineer (Staff Engineer)
Synopsys —Dublin, County Dublin
- Master's degree
- Analysis skills
- Bachelor's degree
9d
EDA flow and Logic Synthesis Engineer (Senior Engineer)
Synopsys —Dublin, County Dublin
- Master's degree
- Bachelor's degree
- No degree
9d
Senior Site Reliability Engineer (R-19383)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- English
- Microsoft Office
Quick apply
Head of Architecture and Engineering Operations
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Computer Science
Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
17h
Sr. SDE, Amazon Email Services
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- AWS
Development Manager
Sentrium —Dublin, County Dublin
- Remote
- Team management
- AI
- Leadership
- Annual leave
Commercial Operations Engineer
Gambling.com Group —Dublin, County Dublin
- AI
- Communication skills
- Gym membership
Quick apply

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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, d

Senior AI Engineer

Staff Engineer, Site Reliability

Senior Security Engineer

Principal Engineer, Design Verification Engineering

ASIC Digital Design, Sr Engineer

Site Reliability Engineer III

Senior DevSecOps Engineer

Senior Engineering Manager, Fin AI Agent

Senior Manager, Engineering

Director, Engineering - Comms Capture

Team Lead Engineering - Developer Experience (Remote)

Production Engineer (Kubernetes)

EDA flow and Logic Synthesis Engineer (Staff Engineer)

EDA flow and Logic Synthesis Engineer (Senior Engineer)

Senior Site Reliability Engineer (R-19383)

Head of Architecture and Engineering Operations

Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations

Sr. SDE, Amazon Email Services

Development Manager

Commercial Operations Engineer

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