Find Senior software engineer python Jobs in Dunboyne, Mh

AI engineer II
Mastercard —Dublin, County Dublin
- Full-time
- Master's degree
- AI
- Communication skills
Senior Backend Engineer
Rain Technologies Inc. —Dublin, County Dublin
- Full-time
- Remote
- Azure
- SQL
- AWS
Quick apply
12h
Senior Lead SRE (DSS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Oracle
- Java
5h
Lead Software Engineer - Financial Wellness
Gen Digital Inc. —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- Java
- AWS
Quick apply
Senior Lead Engineer - Future Operations
Eirgrid —Dublin, County Dublin
- Full-time
- Analysis skills
- Organisational skills
- Electrical Engineering
Quick apply
Quantum Error Correction Lead / Senior Quantum Error Correction Scientist
Equal1 —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Analysis skills
Quick apply
Staff Certification and Compliance Engineer
Analog Devices —Glasnevin, County Dublin
- Full-time
- System design
- Mechanical knowledge
- Python
Manager, Support Engineering
Wiz, Inc. —Dublin, County Dublin
- Remote
- Azure
- Computer Science
- Engineering
Quick apply
Engineering Manager
Ethyca —Dublin, County Dublin
- Full-time
- AWS
- AI
- Leadership
Quick apply
Senior Production Engineer
Crusoe —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
Quick apply
1d
Backend Software Engineer
Grouper —Dublin, County Dublin
- Hybrid work
- Azure
- Computer Science
- Java
Quick apply
Senior Software Engineer - Licensing Management
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
Quick apply
QA Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Java
- Bachelor's degree
Quick apply
AI Engineer 2
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
7h

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AI engineer II

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

Law
Master's degree
Distributed systems
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 II

Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realise their greatest potential.

Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview
The CNPF Data & AI organisation is looking for an AI Engineer II to support the build and operation of applied AI solutions.

This role is ideal for someone early in their AI engineering career who has moved beyond junior-level work and is ready to take on independent delivery ownership with guidance from senior engineers. You will work closely with AI engineers, data scientists, and software engineers to build, deploy, and operate production AI systems.

The focus of this role is execution: writing quality code, shipping features, and learning how to build reliable, scalable AI systems in a real production environment.

Role

Build and maintain AI and ML-enabled services under guidance from senior engineers
Support deployment and operation of ML models in production environments
Participate in data preparation, feature engineering, and experimentation workflows
Contribute to ML pipelines, inference services, and batch or real-time data flows
Debug, monitor, and improve existing AI systems to ensure reliability and performance
Collaborate with data scientists to translate models into working production solutions
Follow engineering best practices for testing, documentation, and version control
Learn and apply Mastercard standards for security, governance, and responsible AI

ALL ABOUT YOU

Experience working as an AI engineer, ML engineer, or software engineer on data- or ML-driven systems
Working knowledge of Python and common data and ML libraries
Basic understanding of how ML models move from development into production
Familiarity with data pipelines, APIs, and foundational distributed systems concepts
Comfortable working with guidance on ambiguous problems and learning through delivery
Strong interest in growing technical depth in AI engineering and ML operations
Clear written and verbal communication skills and a collaborative mindset

What Makes You Stand Out

Exposure to real production AI or ML systems rather than only academic or demo work
Experience supporting model deployment, monitoring, or inference services
Curiosity about agentic or LLM-based systems, even if experience is still early
Strong ownership mindset and willingness to learn from production challenges
Solid engineering fundamentals and eagerness to grow into senior AI engineering roles

Corporate Security Responsibility
Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organisation and therefore it is expected that the successful candidate will:

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
Complete all mandatory security trainings in accordance with Mastercard’s guidelines

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

senior software engineer python jobs in dunboyne, mh

AI engineer II

Senior Backend Engineer

Senior Lead SRE (DSS)

Lead Software Engineer - Financial Wellness

Senior Lead Engineer - Future Operations

Quantum Error Correction Lead / Senior Quantum Error Correction Scientist

Staff Certification and Compliance Engineer

Manager, Support Engineering

Engineering Manager

Senior Production Engineer

Backend Software Engineer

Senior Software Engineer - Licensing Management

QA Engineer

AI Engineer 2

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