Senior AI Engineer, Big Data & AI Solutions
Mastercard3 days ago
Vancouver, CanadaSenior
Responsibilities
- Support machine learning models for cyber-attack and fraud detection and decision intelligence.
- Create data pipelines and feature-engineering workflows for model development and evaluation.
- Process and analyze large-scale datasets to improve model inputs and uncover insights.
- Strengthen production monitoring, observability, and drift detection capabilities.
- Apply automation and MLOps practices to improve reliability, efficiency, and scalability.
- Develop AI-powered solutions that address engineering challenges and streamline operational processes.
- Partner with Data Scientists, Engineers, and Product teams to bring new capabilities into production.
- Contribute improvements to model performance, operational visibility, and team productivity.
Requirements
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field, or a master’s degree with relevant experience; equivalent practical experience is also considered.
- Proficiency in Python, PySpark, SQL, and distributed data processing.
- Hands-on experience with feature engineering, large-scale data processing, and analytics.
- Hands-on experience with Databricks, Airflow, Hadoop, Linux/Unix, and cloud-native technologies.
- Understanding of machine learning, deep learning, model deployment, evaluation, monitoring, and optimization.
- Knowledge of MLOps concepts including testing, automation, CI/CD, and version control.
- Ability to communicate technical concepts and collaborate across teams.
- Preferred experience includes fraud, cybersecurity, payments, risk management, cloud-based data and AI environments, Generative AI, LLMs, RAG, agentic AI, GitHub Copilot, or Claude Code.
Benefits
- Competitive pay based on location, experience, and qualifications.
- Potential eligibility for a discretionary annual incentive program.
- The stated Vancouver, Canada work location has a pay range of $111,000–$160,000 CAD.
- Mastercard is an inclusive equal opportunity employer and provides reasonable-accommodation support during the application and recruitment process.
Categories
Data EngineeringML Engineering
About Mastercard
Mastercard builds and operates a global payments network used by banks, merchants, fintechs, and governments, offering card processing, real-time payments, tokenization, and fraud/risk services. It generates revenue from transaction processing and assessment/service fees across more than 200 countries and territories. Founded in 1966 and headquartered in Purchase, New York, Mastercard is a public company listed on the NYSE (ticker: MA).