Find Machine learning software development engineer, ai ops integration Jobs

Lead Data Engineer – AI & Foundation Models
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- SQL
15h
Partner Solutions Architect, WWPS Global ISV Partners
Amazon Web Services EMEA SARL (Irish Branch) —Dublin, County Dublin
- Full-time
- Heavy lifting
- AWS
- Software development
2d
Sr. Data Scientist (Hybrid, IRE)
CrowdStrike —Dublin, County Dublin
- Full-time
- Computer Science
- Research
- Bachelor's degree
2d
Senior Consultant, Data Science
Dell Technologies —Cork, County Cork
- Full-time
- Azure
- Doctoral degree
- Computer Science
Principal Data Scientist
iCims —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Project Engineering Management, Sr Staff Engineer
Synopsys —Dublin, County Dublin
- Microsoft Excel
- Engineering
- Master's degree
Senior Data Scientist
Mastercard —Dublin, County Dublin
- Full-time
- AI
- Python
2d
Talent Attraction Operations Manager
Guidewire Software —Dublin, County Dublin
- Full-time
- Project management
- Recruiting
- IT
Commercial Operations Engineer
Gambling.com Group —Dublin, County Dublin
- AI
- Communication skills
- Gym membership
Quick apply
10d
Senior Manufacturing Engineer
PSC Biotech —Cork, County Cork
- Engineering
- Master's degree
- No degree
2d
Capacity Planning Manager, CDP EMEA
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Leadership
- Analytics
Internal Mobility Advisor (12 Month FTC)
Advanced Micro Devices, Inc —Dublin, County Dublin
- Recruiting
- Communication skills
FS Technology Consulting - Engineering Lead, Features Team- Director - Dublin
EY —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Azure
- Salesforce
- System design
- Gym membership
Optical Engineering Manager
MBRYONICS —Galway, County Galway
- Full-time
- Doctoral degree
- Engineering
- System design
Senior Manager, Customer Campaigns & Lifecycle Marketing
Intercom —Dublin, County Dublin
- Hybrid work
- Mentoring
- AI
- Leadership
- Annual leave
- Work from home
ASIC Digital Design, Architect
Synopsys —Dublin, County Dublin
- Analysis skills
- Communication skills
Talent Acquisition CoE Lead
Uniphar PLC —DUBLIN 24, County Dublin
- Full-time
- Hybrid work
- Management
- Master's degree
- Bachelor's degree
Quick apply
ASIC Digital Design Architect
Synopsys —Dublin, County Dublin
- Leadership
- Communication skills
Engineering and Core Technology Manager, Security
Dolby —Dublin, County Dublin
- Computer Science
- Research
- Master's degree
Senior Employee Relations Business Partner
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home

I want to receive the latest job alerts for machine learning software development engineer, ai ops integration

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

machine learning software development engineer, ai ops integration jobs near

Optical Engineer jobs in Galway, County Galway

Senior Data Scientist jobs in Dublin, County Dublin

Digital Designer jobs in Dublin, County Dublin

Data Engineer jobs in Dublin, County Dublin

Data Scientist jobs in Cork, County Cork

Director Of Recruiting jobs in Dublin, County Dublin

Engineering Manager jobs in Dublin, County Dublin

Global Mobility Specialist jobs in Dublin, County Dublin

Operations Engineer jobs in Dublin, County Dublin

Solution Architect jobs in Dublin, County Dublin

Cloud Engineer jobs in Dublin, County Dublin

Senior Engineer jobs in Cork, County Cork

Senior Partner jobs in South Dublin, County Dublin

Hr Business Partner Hybrid jobs in Dublin, County Dublin

Principal Data Scientist jobs in Dublin, County Dublin

Mechanical Engineer jobs in County Sligo

Quality Engineer jobs in Dublin, County Dublin

Optical Engineer jobs in Dublin, County Dublin

Product Marketing Manager jobs in County Dublin

Development Manager jobs in Dublin, County Dublin

Lead Data Engineer – AI & Foundation Models

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
15 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 integration jobs

Lead Data Engineer – AI & Foundation Models

Partner Solutions Architect, WWPS Global ISV Partners

Sr. Data Scientist (Hybrid, IRE)

Senior Consultant, Data Science

Principal Data Scientist

Project Engineering Management, Sr Staff Engineer

Senior Data Scientist

Talent Attraction Operations Manager

Commercial Operations Engineer

Senior Manufacturing Engineer

Capacity Planning Manager, CDP EMEA

Internal Mobility Advisor (12 Month FTC)

FS Technology Consulting - Engineering Lead, Features Team- Director - Dublin

Optical Engineering Manager

Senior Manager, Customer Campaigns & Lifecycle Marketing

ASIC Digital Design, Architect

Talent Acquisition CoE Lead

ASIC Digital Design Architect

Engineering and Core Technology Manager, Security

Senior Employee Relations Business Partner

I want to receive the latest job alerts for machine learning software development engineer, ai ops integration

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected