Find Ai/machine learning engineer Jobs in Dublin, D

AI Engineer 2
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
2d
Applied Scientist, AI Ops Integration
Amazon EU SARL, Irish Branch —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
1d
Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
14d
Customer Engineer, SMB, Artificial Intelligence
Google —Dublin, County Dublin
- €80,000–€82,000 a year
- Full-time
- Computer Science
- Presentation skills
- Bachelor's degree
Staff SRE, Ads
Reddit —Dublin, County Dublin
- On call
- Remote
- Linux
- Communication skills
- Python
- Annual leave
Quick apply
Newly/Nearly qualified actuary
AXA —DUBLIN 1, County Dublin
- SQL
- Communication skills
- Python
10d
Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree
13d
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- System design
Principal Data Scientist
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
Sr. Data Scientist (Hybrid, IRE)
CrowdStrike —Dublin, County Dublin
- Full-time
- Computer Science
- Research
- Bachelor's degree
Strategic Operations Manager, Egregious Harms, Service Delivery, Trust and Safety
Google —Dublin, County Dublin
- €138,000–€142,000 a year
- Full-time
- Bachelor's degree
- No degree
- AI
3d
Mid-Level Industrial Designer
PA Consulting —Bray, County Wicklow
- Weekend availability
- Hybrid work
- Bachelor's degree
- Manufacturing
- Communication skills
- Annual leave
Quick apply
1d
Director, Finance Transformation
KAYAK —DUBLIN 2, County Dublin
- Full-time
- Remote
- Computer Science
- Engineering
- ERP systems
- Annual leave
- Employee assistance program
Quick apply
Industrial Designer
PA Consulting —Bray, County Wicklow
- Weekend availability
- Bachelor's degree
- Manufacturing
- Communication skills
- Annual leave
Quick apply
1d
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
21h
Engineering Manager
Learnosity —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Annual leave
- Employee assistance program
Quick apply
Marketing Manager - EdTech (French fluent )
Paradox —Dublin, County Dublin
- Full-time
- Remote
- Management
- English
- Communication skills
2d
Engineering Manager, Embedded Product Security
Dolby —Dublin, County Dublin
- Computer Science
- Research
- Master's degree
Director of Data Engineering
2K —Dublin, County Dublin
- DevOps
- Data analysis skills
- AI
Quick apply
Senior Software Engineer, Cash Forecasting
Ripple —Dublin, County Dublin
- Full-time
- Azure
- Oracle
- AWS
Quick apply
3d

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AI Engineer 2

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
2 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

ai/machine learning engineer jobs in dublin, d

AI Engineer 2

Applied Scientist, AI Ops Integration

Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations

Customer Engineer, SMB, Artificial Intelligence

Staff SRE, Ads

Newly/Nearly qualified actuary

Senior Applied Scientist, AWS Security

Senior Data Engineer

Principal Data Scientist

Sr. Data Scientist (Hybrid, IRE)

Strategic Operations Manager, Egregious Harms, Service Delivery, Trust and Safety

Mid-Level Industrial Designer

Director, Finance Transformation

Industrial Designer

Director, Software Engineering

Engineering Manager

Marketing Manager - EdTech (French fluent )

Engineering Manager, Embedded Product Security

Director of Data Engineering

Senior Software Engineer, Cash Forecasting

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