# Senior AI Engineer

**Company**: Mastercard
**Location**: Dublin
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Dublin-Ireland/Senior-AI-Engineer_R-294783?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a1637e77-8fe

## Description

Mastercard's AI Centre of Excellence is building the next generation of AI capabilities powered by large-scale transaction data, machine learning, and foundation models.

We are seeking a Senior AI Engineer to develop advanced machine learning solutions across domains. This role combines deep expertise in predictive modelling, experimentation, and applied machine learning to deliver measurable business impact.

**Key Responsibilities**

- Design, develop, and deploy machine learning solutions that solve high-impact business problems.

- Define modelling approaches, experimentation methodologies, and success metrics for AI initiatives.

- Apply foundation-model embeddings and modern machine learning techniques to improve model performance and accelerate development.

- Drive projects from problem definition through model development, deployment, and impact measurement.

- Develop robust evaluation frameworks and benchmark new approaches against existing solutions.

- Partner with business, product, engineering, and analytics teams to identify and prioritise opportunities.

- Communicate technical findings and recommendations to both technical and non-technical stakeholders.

- Contribute to the development of best practices, reusable assets, and modelling standards across the AI organisation.

- Support and mentor junior data scientists through technical guidance and knowledge sharing.

**Requirements**

- Proven experience developing and deploying machine learning solutions in production environments.

- Experience solving predictive modelling problems such as attrition, forecasting, recommendation systems, propensity modelling, fraud detection, risk modelling, or customer analytics.

- Strong track record of delivering measurable business outcomes through machine learning.

- Experience working in cross-functional teams to bring data science solutions from concept to deployment.

**Technical Skills**

- Strong expertise in machine learning, predictive analytics, statistical modelling, and experimentation.

- Advanced Python and SQL skills.

- Experience with machine learning frameworks such as Scikit-Learn, XGBoost, LightGBM, TensorFlow, or PyTorch.

- Strong understanding of classification, regression, forecasting, recommendation systems, ranking, clustering, and anomaly detection.

- Experience with feature engineering, representation learning, embeddings, and downstream machine learning workflows.

- Familiarity with transformer-based models and foundation-model applications.

- Experience working with Databricks, Spark, Azure, AWS, or GCP.

**Leadership & Communication**

- Strong analytical problem-solving skills.

- Ability to influence stakeholders through technical expertise and data-driven recommendations.

- Excellent communication and collaboration skills.

- Ability to translate complex technical concepts into actionable business insights.

**Minimum Qualifications**

- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.

- 5+ years of experience in machine learning, data science, AI, or advanced analytics.

- Experience developing and deploying machine learning models in production environments.

- Demonstrated experience applying statistical and machine learning techniques to real-world business problems.

**Preferred Qualifications**

- Master's degree or PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Mathematics, or a related field.

- Experience with foundation models, embeddings, or representation learning.

- Experience in financial services, payments, banking, fintech, fraud, marketing analytics, or customer intelligence.

- Publications, patents, conference presentations, or other evidence of technical thought leadership.

## Skills

### Required
- Python
- SQL
- Scikit-Learn
- XGBoost
- LightGBM
- TensorFlow
- PyTorch
- Machine Learning
- Predictive Analytics
- Statistical Modelling
- Experimentation
- Databricks
- Spark
- Azure
- AWS
- GCP

### Nice to have
- Foundation Models
- Embeddings
- Representation Learning
- Transformer-based Models

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Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Dublin-Ireland/Senior-AI-Engineer_R-294783?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)