Senior AI Engineer: Scalable ML in Production

Mastercard; Lusk (WY); On-site; USD 140,000 - 190,000; Full time

Job summary

Mastercard's AI Centre of Excellence is building scalable AI capabilities using large-scale data and foundation models. A Senior Data Scientist, AI Engineering will advance machine learning systems from concept to production, partnering with engineering, product, and business teams to deliver measurable impact.

The role emphasizes applied ML, predictive analytics, and experimentation across domains with guidance on governance and reusable assets. Strong communication and leadership are essential.

Qualifications

• 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.

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.

Skills

machine learning

predictive analytics

statistical modelling

experimentation

Python

SQL

Scikit-Learn

XGBoost

LightGBM

TensorFlow

PyTorch

classification

regression

forecasting

recommendation systems

ranking

clustering

anomaly detection

feature engineering

representation learning

embeddings

foundation-model applications

Databricks

Spark

Azure

AWS

GCP

Education

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

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

Tools

Databricks

Spark

Azure

AWS

GCP

Job description

Mastercard's AI Centre of Excellence is building scalable AI capabilities using large-scale data and foundation models. A Senior Data Scientist, AI Engineering will advance machine learning systems from concept to production, partnering with engineering, product, and business teams to deliver measurable impact.

The role emphasizes applied ML, predictive analytics, and experimentation across domains with guidance on governance and reusable assets. Strong communication and leadership are essential.