Find Machine learning engineer Jobs in Clonee, Mh

Senior AI Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
AI Research Engineer (Model Compression & Quantization)
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Senior Data Engineer — Lab Data Pipelines & Data Mesh
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Computer Science
- Engineering
- Master's degree
9d
Lead Software Engineer - Workforce Experience Technology (Backend, AWS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- System design
- Java
- AWS
Commercial Counsel, EMEA
Anthropic —Dublin, County Dublin
- €165,000–€210,000 a year
- Hybrid work
- Sales
- Bachelor's degree
- Contracts
AI & Intelligent Automation Consultant (Retail Banking)
NTT Ltd —Dublin, County Dublin
- Hybrid work
- Mentoring
- AI
- Leadership
Principal Security Engineer, AWS Security
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Leadership
- Python
Applied Scientist, AI Ops Integration
Amazon EU SARL, Irish Branch —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
4d
Senior Engineer, Network Observability
CoreWeave Europe —Dublin, County Dublin
- On call
- Computer Science
- Bachelor's degree
- Linux
- Employee assistance program
Quick apply
Senior Solutions Engineer,Auth0
Okta —Dublin, County Dublin
- €104,000–€143,000 a year
- Sales
- Java
- Presentation skills
Quick apply
Project Engineering Management, Sr Staff Engineer
Synopsys —Dublin, County Dublin
- Microsoft Excel
- Engineering
- Master's degree
Process Automation Lead - Arachas Location
Ardonagh Europe —Dublin, County Dublin
- Hybrid work
- Computer Science
- Salesforce
- Java
Senior Software Engineer, Inference
Anthropic —Dublin, County Dublin
- €235,000–€295,000 a year
- Master's degree
- AWS
- Bachelor's degree
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
Data Engineering Lead – English Speaker – Office Based
SpotOn TA —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
6d
Staff Software Engineer, Inference
Anthropic —Dublin, County Dublin
- €295,000–€355,000 a year
- Master's degree
- AWS
- Bachelor's degree
Sr. Lead Security Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
Senior Embedded Systems Design Engineer
Eaton —Dublin, County Dublin
- Computer Science
- System design
- C++
Staff Software Engineer - Client Apps
Dolby —Dublin, County Dublin
- System design
- JavaScript
- Software development
Senior Cost Accountant
West Pharmaceutical Services —Dublin, County Dublin
- €63,100–€80,200 a year
- Microsoft Excel
- ERP systems
- Finance
2d

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Senior AI Engineer

Mastercard -
Dublin, County Dublin

Apply Now

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

machine learning engineer jobs in clonee, mh

Senior AI Engineer

AI Research Engineer (Model Compression & Quantization)

Senior Data Engineer — Lab Data Pipelines & Data Mesh

Lead Software Engineer - Workforce Experience Technology (Backend, AWS)

Commercial Counsel, EMEA

AI & Intelligent Automation Consultant (Retail Banking)

Principal Security Engineer, AWS Security

Applied Scientist, AI Ops Integration

Senior Engineer, Network Observability

Senior Solutions Engineer,Auth0

Project Engineering Management, Sr Staff Engineer

Process Automation Lead - Arachas Location

Senior Software Engineer, Inference

Senior Product Manager, GenAI Content Safety

Data Engineering Lead – English Speaker – Office Based

Staff Software Engineer, Inference

Sr. Lead Security Engineer

Senior Embedded Systems Design Engineer

Staff Software Engineer - Client Apps

Senior Cost Accountant

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