Find Machine learning software development engineer, ai ops Jobs in Dublin, D

Lead Data Engineer – AI & Foundation Models
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- SQL
8h
Senior Advisor, Data Science - Machine Learning Engineer
Dell Technologies —Dublin, County Dublin
- Full-time
- Azure
- Doctoral degree
- Computer Science
Product Manager
Siena AI —Dublin, County Dublin
- Full-time
- Remote
- Master's degree
- AI
Training Specialist
Allianz —Dublin, County Dublin
- Full-time
- Management
- English
- Microsoft Office
1d
Technical Services Engineer
MongoDB —Dublin, County Dublin
- Weekend availability
- Azure
- DevOps
- Java
Manager, Product Development
Mastercard —Dublin, County Dublin
- Full-time
- Agile
- AI
- Communication skills
Senior Data Analytics Engineer
Spanish Point Technologies —Clontarf, County Dublin
- Spanish
- Azure
- Computer Science
Software Architect - Analytics & Reporting
Optum —Dublin, County Dublin
- Full-time
- Azure
- Master's degree
- AWS
Staff Software Engineer, Ruby on Rails
Ripple —Dublin, County Dublin
- Full-time
- Azure
- Oracle
- AWS
Quick apply
Data Analytics and AI Team Lead
Spanish Point Technologies —Clontarf, County Dublin
- Spanish
- Azure
- Computer Science
Applications Engineer
TriMech Group UK & Ireland —Sandyford, County Dublin
- €28,850–€51,300 a year
- Full-time
- JavaScript
- No degree
- Manufacturing
Platform Engineering Team Lead
EcoOnline —Dublin, County Dublin
- Hybrid work
- AWS
- Mentoring
- AI
- Annual leave
8d
Data Engineer, Healthcare Economics
Optum —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- Data analysis skills
6d
Staff Insights Applications Engineer
Analog Devices —Glasnevin, County Dublin
- Full-time
- Computer Science
- Master's degree
- C++
Technical Program Manager
Guidewire Software —Dublin, County Dublin
- Full-time
- Google Suite
- AWS
- Analysis skills
Sr. Software Eng, Data Platforms
eBay Inc. —Dublin, County Dublin
- Full-time
- System design
- Java
- AI
7d
Senior Delivery Acceleration AI Specialist
ServiceNow —DUBLIN 2, County Dublin
- Full-time
- Microsoft Excel
- Sales
- SharePoint
Quick apply
Network Engineer, Operations & Support
Meta —Dublin, County Dublin
- On call
- JavaScript
- No degree
- AI
Senior Mobile Engineer
Nory —Dublin, County Dublin
- Full-time
- Hybrid work
- Hospitality
- Restaurant management
- English
- Annual leave
- Work from home
9d
Head of Growth
Grand Intelligence —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- Analysis skills
- Project management
Quick apply

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Lead Data Engineer – AI & Foundation Models

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
8 hours ago

Qualifications

CI/CD
Data modelling
Azure
Computer Science
Spark
Google Cloud Platform
SQL
AWS
Bachelor's degree
Mentoring
AI
Analytics

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

Lead Data Engineer – AI & Foundation Models

Overview
Mastercard is seeking a Lead Data Engineer to design, build, and operate the data foundations that power a strategic AI program within the AI & Data organization. This role is responsible for ensuring that high‑quality, well‑governed, and scalable data is available to support foundation models, AI platforms, and downstream use cases.
As a technical lead, you will own end‑to‑end data engineering delivery across the program—partnering closely with AI engineers, software engineers, and product teams to ensure data pipelines, feature assets, and analytical datasets are production‑ready, reliable, and aligned with enterprise standards.

Role
In this role, you will lead the development and operation of data pipelines and data products that enable AI model training, inference, and evaluation.
Key responsibilities include:

Lead the design and implementation of scalable data pipelines supporting AI model training, inference, and experimentation
Own data ingestion, transformation, and aggregation patterns across batch and streaming workloads
Partner with AI engineers to enable feature engineering, feature stores, and training datasets aligned to model requirements
Ensure data pipelines meet enterprise standards for quality, availability, lineage, and governance
Drive best practices for data modeling, schema management, partitioning, and performance optimization
Implement robust data quality checks, validation, and monitoring to ensure trust in downstream AI systems
Collaborate with platform and infrastructure teams to build pipelines on cloud‑native and distributed data processing platforms
Support secure data access patterns, including environment isolation, access controls, and auditability
Lead code reviews and design reviews for data engineering deliverables across the program
Mentor and guide senior and mid‑level data engineers, providing technical direction and delivery oversight
Contribute to program‑level planning by estimating effort, identifying dependencies, and managing delivery risks related to data availability

All About You

Strong experience designing and building production‑grade data pipelines in large‑scale environments
Deep expertise with distributed data processing frameworks (e.g. Spark or equivalent) and SQL‑based analytics
Experience working with cloud data platforms and storage technologies (AWS, Azure, or GCP)
Solid understanding of data modeling, performance tuning, and cost‑efficient data architecture
Experience supporting machine learning and AI workloads, including training datasets, feature engineering, and inference data flows
Familiarity with data governance concepts, including lineage, data quality, access control, and auditability
Strong software engineering fundamentals, including version control, testing, CI/CD, and code quality standards
Ability to translate AI and product requirements into practical, scalable data solutions
Experience leading technical delivery and mentoring engineers, without formal line‑management responsibility
Clear, concise communicator able to collaborate effectively with engineers, data scientists, product managers, and stakeholders
Bachelor’s degree or equivalent practical experience in computer science, engineering, 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

machine learning software development engineer, ai ops jobs in dublin, d

Lead Data Engineer – AI & Foundation Models

Senior Advisor, Data Science - Machine Learning Engineer

Product Manager

Training Specialist

Technical Services Engineer

Manager, Product Development

Senior Data Analytics Engineer

Software Architect - Analytics & Reporting

Staff Software Engineer, Ruby on Rails

Data Analytics and AI Team Lead

Applications Engineer

Platform Engineering Team Lead

Data Engineer, Healthcare Economics

Staff Insights Applications Engineer

Technical Program Manager

Sr. Software Eng, Data Platforms

Senior Delivery Acceleration AI Specialist

Network Engineer, Operations & Support

Senior Mobile Engineer

Head of Growth

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