Find Engineer ml platform Jobs in Dunboyne, Mh

Senior AI Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
Senior Software Engineer, Cloud Security
Iambic Therapeutics, Inc —Dublin, County Dublin
- Full-time
- Hybrid work
- Master's degree
- AWS
- Bachelor's degree
Senior Staff Machine Learning Scientist, Recommendations
Adswizz —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
AI Engineer
Version 1 —Dublin, County Dublin
- €45,000–€55,000 a year
- Full-time
- Azure
- Oracle
- English
- Employee assistance program
- Employee discount
Quick apply
10d
Senior Staff Machine Learning Scientist, Recommendations
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Java
- Master's degree
Lead Data Analytics & AI Engineer
ResMed —Dublin, County Dublin
- Computer Science
- System design
- Master's degree
- Referral programme
12d
Quantitative Developer – Compute & ML Platform
Millennium Management —Dublin, County Dublin
- Computer Science
- Research
- Bachelor's degree
9h
Lead Data Engineer
Henry Schein Ireland —Dublin, County Dublin
- Full-time
- Azure
- SQL
- AI
Staff Forward Deployed Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- JavaScript
- In-person
- Communication skills
- Annual leave
- Work from home
Senior Full Stack Engineer
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer science
- Microsoft Excel
- Azure
Databricks Senior Data Engineer
Citco —Dublin, County Dublin
- Full-time
- SQL
- AWS
- Analysis skills
Business Support Engineer
Meta —Dublin, County Dublin
- Weekend availability
- Master's degree
- SQL
- JavaScript
Senior Data Engineer — Lab Data Pipelines & Data Mesh
AstraZeneca —Dublin, County Dublin
- Computer Science
- Engineering
- Master's degree
10d
Principal Full Stack Software Engineer – eCommerce Platforms
Abbott Laboratories —Dublin, County Dublin
- Full-time
- Azure
- System design
- Java
Safety Engineer
ElevenLabs —Dublin, County Dublin
- Full-time
- Remote
- DevOps
- Data analysis skills
- SQL
Senior Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Master's degree
Senior Software Engineer - Machine Learning (f/m/d)
Contentful —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Master's degree
- AWS
- Annual leave
Senior Product Manager, GenAI Content Safety
Google —Dublin, County Dublin
- €146,000–€150,000 a year
- Full-time
- Master's degree
- Bachelor's degree
- No degree
Senior Data Analytics & AI Engineer
ResMed —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Master's degree
- Referral programme
Data Engineer
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- AWS
- AI

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Senior AI Engineer

Mastercard -
Dublin, County Dublin

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Job details

Full-time

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

engineer ml platform jobs in dunboyne, mh

Senior AI Engineer

Senior Software Engineer, Cloud Security

Senior Staff Machine Learning Scientist, Recommendations

AI Engineer

Senior Staff Machine Learning Scientist, Recommendations

Lead Data Analytics & AI Engineer

Quantitative Developer – Compute & ML Platform

Lead Data Engineer

Staff Forward Deployed Engineer

Senior Full Stack Engineer

Databricks Senior Data Engineer

Business Support Engineer

Senior Data Engineer — Lab Data Pipelines & Data Mesh

Principal Full Stack Software Engineer – eCommerce Platforms

Safety Engineer

Senior Software Engineer

Senior Software Engineer - Machine Learning (f/m/d)

Senior Product Manager, GenAI Content Safety

Senior Data Analytics & AI Engineer

Data Engineer

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