Senior AI Engineer: Scalable ML in Production

Mastercard

Lusk (WY)

On-site

USD 140,000 - 190,000

Full time

4 days ago
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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.

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