Senior ML Platform Engineer
Mastercard20 hours ago
Budapest, HungarySenior
Responsibilities
- Build and evolve internal data and machine learning platforms for IDV Data Science.
- Develop distributed data processing solutions, reusable tooling, and platform capabilities for machine learning workflows at scale.
- Improve reliability, performance, automation, and maintainability across engineering systems and tools.
- Collaborate with Data Scientists and engineers to bring machine learning solutions into production.
- Contribute to technical design, architecture, and engineering best practices.
- Mentor teammates and help raise engineering standards.
Requirements
- Professional software engineering experience with JVM languages; Scala is preferred, while strong Java or Kotlin experience is also accepted with willingness to learn.
- Solid Python development experience.
- Deep understanding of distributed data processing systems, preferably Apache Spark.
- Experience designing and operating large-scale data pipelines, platforms, or machine learning systems.
- Knowledge of MLOps, data engineering, and data warehousing concepts.
- Strong problem-solving, communication, collaboration, and pragmatic engineering skills.
- Experience or interest in functional programming in a strongly typed setting is beneficial.
- Databricks, AWS or other cloud platform, and AI-assisted development tool experience are nice to have.
Benefits
- Work on large-scale systems that help combat fraud and build trust in digital commerce.
- Influence the architecture and direction of internal machine learning platforms and tools.
- Collaborate with experienced Data Scientists, Engineers, and Architects.
- Tackle distributed systems, data, and machine learning challenges at scale.
- Join a team emphasizing technical excellence, ownership, curiosity, learning, and continuous improvement.
- The role is based on the Mastercard Budapest team.
Tech Stack
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).