Find Data scientist Jobs in Dublin, D

Lead Site Reliability Engineer (AI/ML)
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- Scripting
19h
Lead Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
Manager, PDS BI&T - AI Engineering & Enablement
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
- Annual leave
11d
Senior AI/ML Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- SQL
- Bachelor's degree
Sr Machine Learning Engineer
paypal —Dublin, County Dublin
- Full-time
- Azure
- Engineering
- Java
- Annual leave
Product Management Leader – AI Portfolio
EPAM Systems, Inc. —Dublin, County Dublin
- Computer Science
- Master's degree
- Bachelor's degree
- Employee stock purchase plan
- Referral programme
Senior AI Developer
Citco —Dublin, County Dublin
- Full-time
- Computer Science
- DevOps
- Master's degree
Senior Engineer, Applied AI
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Master's degree
Senior AI Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
Lead AI Platform Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
4d
AI Product Sales Executive
Sia —Dublin, County Dublin
- Full-time
- Marketing
- English
- Master's degree
Quick apply
12d

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Lead Site Reliability Engineer (AI/ML)

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
19 hours ago

Qualifications

CI/CD
Computer Science
Bachelor's degree
Scripting
AI
Business
Communication skills

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 Site Reliability Engineer (AI/ML)

As a Lead Site Reliability Engineer at Mastercard, you'll play a pivotal role focusing on the seamless deployment, operationalization, and continuous improvement of our AI/ML solutions. You'll be instrumental in translating AI models from development to production, ensuring they deliver tangible business value, operate efficiently, and meet key performance indicators.

Key Responsibilities

Lead the E2E deployment and operationalization of AI/ML models and solutions, ensuring they are scalable, reliable, and integrated seamlessly into existing business processes
Establish and maintain robust monitoring frameworks for deployed AI solutions. Proactively identify performance bottlenecks, data drifts, and other issues, and drive their resolution to ensure optimal business outcomes
Work closely with business stakeholders, AI Engineers, and product teams to understand business requirements, define success metrics for AI solutions, and ensure deployed models are directly contributing to key business objectives
Implement and champion MLOps best practices, automation strategies, and efficient workflows to streamline the deployment lifecycle of AI models, from experimentation to production
Collaborate with risk, compliance, and governance teams to ensure all AI deployments adhere to internal policies, regulatory requirements, and ethical AI principles
Lead the response to operational incidents related to deployed AI models, conducting root cause analysis and implementing preventative measures

Qualifications

Education: Bachelor's degree in Computer Science, Engineering, Data Science, Business, or a related field
Experience: Minimum of 8+ years of experience in AI/ML operations, MLOps, DevOps, or a related role with a strong focus on deploying and managing AI/ML solutions in production environments.
Technical Skills:

o Solid understanding of the AI/ML lifecycle, from data preparation and model training to deployment and monitoring.
o Experience with one of the cloud platforms and their AI/ML services
o Proficiency in scripting and
o Familiarity with containerization technologies
o Knowledge of CI/CD pipelines for machine learning models.
o Experience with monitoring tools for AI/ML solutions
o Understanding of data governance, data quality, and data security principles relevant to AI/ML

Strong ability to understand business needs, translate them into technical requirements for AI solutions, and articulate the business value of AI deployments
Excellent communication, interpersonal, and stakeholder management skills
Ability to effectively bridge the gap between technical and business teams
Demonstrated ability to lead initiatives, drive cross-functional projects, and influence outcomes without direct authority
Strong understanding of operational processes and a passion for optimizing them

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

data scientist jobs in dublin, d

Lead Site Reliability Engineer (AI/ML)

Lead Machine Learning Engineer

Manager, PDS BI&T - AI Engineering & Enablement

Senior AI/ML Engineer

Sr Machine Learning Engineer

Product Management Leader – AI Portfolio

Senior AI Developer

Senior Engineer, Applied AI

Senior AI Engineer

Lead AI Platform Engineer

AI Product Sales Executive

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