Senior Machine Learning Engineer

Mastercard

Not specified (assumed to be hybrid/remote based on industry trends)
Machine learning and deep learning solutions
Python programming proficiency
Ml frameworks like scikit learn
Mastercard is seeking a Senior Machine Learning Engineer to join their Data & Services team, responsible for designing and building web applications and data pipelines that leverage machine learning and AI solutions. The role emphasizes collaboration within agile teams, focusing on delivering custom analytics and optimizing machine learning models for scalability and efficiency

Job Summary

  • Mastercard powers economies and empowers people in over 200 countries and territories worldwide by supporting a wide range of secure and accessible digital payment choices.
  • The Senior Machine Learning Engineer will work in agile teams to design, build, test, and deploy scalable AI solutions and data pipelines that deliver custom analytics efficiently.
  • The role emphasizes collaboration across internal teams, ownership of ML operations, and continuous improvement of development practices to drive value for customers.

Matching Summary

Match Score: 85

Mastercard is seeking a Senior Machine Learning Engineer to join their Data & Services team, responsible for designing and building web applications and data pipelines that leverage machine learning and AI solutions. The role emphasizes collaboration within agile teams, focusing on delivering custom analytics and optimizing machine learning models for scalability and efficiency.

Skills & Requirements

Must-have

  • Machine learning and deep learning solutions
  • Python programming proficiency
  • ML frameworks like Scikit learn
  • Deep learning frameworks TensorFlow and PyTorch
  • SQL and Hadoop or Snowflake/Databricks
  • Building and maintaining ML production pipelines
  • Cloud technology understanding

Nice-to-have

  • R programming skills
  • Curious and critical thinker
  • Good hacking skills and scientific reasoning
  • Strong software engineering practices
  • Proactive stakeholder communication

Key Requirements

  • Proven experience in ML and deep learning deployment
  • Experience with ML and deep learning algorithms
  • Hands-on experience with ML and deep learning frameworks
  • Experience with SQL and big data platforms
  • Experience building ML production pipelines
  • Good understanding of cloud technologies

Work Rights

Not specified

Tailored Resume

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