Find Engineer ml platform Jobs in Dunboyne, Mh

Director of Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
Head of Responsible AI- Vice President
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Doctoral degree
- Computer Science
Applied AI / ML Lead Software Engineer — Employee Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Master's degree
- AWS
3d
AI Architect
Marsh —Dublin, County Dublin
- Full-time
- Azure
- AWS
- Presentation skills
Solution Architect
Sonalake —Dublin, County Dublin
- Hybrid work
- English
- Presentation skills
- Agile
Quick apply
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
Senior Manager of Data Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- AI
Principal Data Scientist
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Director of AI Engineering
Mastercard —Dublin, County Dublin
- Full-time
- AI
- Communication skills
- Python
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- Data analysis skills
AI Architect (R-18541)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Annual leave
Quick apply
Software Development Manager, Network Monitoring and Remediation
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- AWS
- Team management
Senior Staff Engineer
StoneX Group —Dublin, County Dublin
- Azure
- Computer Science
- English
12d
Partner Solutions Architect
Nebius —Dublin, County Dublin
- Remote
- Azure
- AWS
- AI
Quick apply
Engineering Manager, AI Models Infrastructure
Intercom —Dublin, County Dublin
- Hybrid work
- AI
- Communication skills
- Annual leave
- Work from home
Technical Recruiter
ElevenLabs —Dublin, County Dublin
- Full-time
- Remote
- Research
- Recruiting
- Communication skills
Principal Data Product Engineer — Data Ontology & Metadata
AstraZeneca —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
13d
Product Manager
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- AI
- Communication skills
- Analytics
Staff Machine Learning Engineer
Adswizz —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Senior Staff Machine Learning Scientist, Recommendations
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Java
- Master's degree

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Director of Software Engineering

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

CI/CD
Azure
Computer Science
DevOps
Encryption
Google Cloud Platform
AWS
Bachelor's degree
Distributed systems
REST
AI
gRPC

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

Director of Software Engineering

Mastercard is seeking a Director of Software Engineering to lead a team responsible for building and operating the software platforms and APIs that enable secure, scalable access to foundation model capabilities. This role plays a critical part in translating AI innovation into production‑grade, enterprise‑ready services that can be consumed safely across the business.
You will lead a team of engineers focused on API development, platform services, and system reliability, ensuring that AI capabilities are exposed through robust, high‑quality software systems that meet Mastercard’s standards for security, performance, and governance.

Role
In this role, you will own the engineering delivery and technical direction of the software engineering team supporting the AI program.
Key responsibilities include:

Lead a team of software engineers responsible for building API platforms and backend services that expose foundation model capabilities (e.g. inference, embeddings, orchestration)
Define and drive best practices for API design, service architecture, and distributed systems development
Ensure platforms are secure by design, implementing authentication, authorization, data protection, and auditability controls
Oversee the development of scalable, reliable, and high‑performance services, including traffic management, fault tolerance, and latency optimisation
Partner with AI engineering teams to ensure seamless integration of models into production systems, abstracting complexity for downstream consumers
Manage DevOps and platform teams to ensure strong CI/CD pipelines, deployment patterns, and operational readiness
Drive adoption of observability practices, including monitoring, logging, alerting, and performance tracking
Establish and enforce engineering standards for code quality, testing, documentation, and maintainability
Manage delivery across multiple workstreams, ensuring alignment to program priorities, timelines, and quality expectations
Build and develop a high‑performing engineering team, including hiring, coaching, and performance management
Act as a key stakeholder partner, translating business and product requirements into clear technical roadmaps and execution plans

All About You

Proven experience leading teams delivering production software systems at scale, ideally in platform or API‑driven environments
Strong background in backend and distributed systems engineering, including API design (REST/gRPC) and service‑based architectures
Experience building and operating cloud‑native platforms (AWS, Azure, or GCP), including containerisation and orchestration technologies
Solid understanding of security best practices, including authN/authZ, encryption, secrets management, and secure API design
Experience supporting AI/ML or data‑driven systems, with familiarity in model integration patterns and production AI usage (preferred)
Strong knowledge of DevOps practices, including CI/CD, infrastructure as code, and automated deployment pipelines
Experience implementing observability and reliability practices (monitoring, alerting, incident response, SLOs)
Demonstrated ability to lead and scale engineering teams, with a track record of developing senior technical talent
Strong stakeholder management skills, with the ability to clearly communicate technical concepts and trade‑offs
Comfortable operating in fast‑moving, evolving environments with ambiguity and shifting priorities
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

engineer ml platform jobs in dunboyne, mh

Director of Software Engineering

Head of Responsible AI- Vice President

Applied AI / ML Lead Software Engineer — Employee Platforms

AI Architect

Solution Architect

Director, Software Engineering

Senior Manager of Data Engineering

Principal Data Scientist

Director of AI Engineering

Senior Data Engineer

AI Architect (R-18541)

Software Development Manager, Network Monitoring and Remediation

Senior Staff Engineer

Partner Solutions Architect

Engineering Manager, AI Models Infrastructure

Technical Recruiter

Principal Data Product Engineer — Data Ontology & Metadata

Product Manager

Staff Machine Learning Engineer

Senior Staff Machine Learning Scientist, Recommendations

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