Senior Engineer, Machine Learning Engineering-1

Mastercard

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Transformer-based ai model development
Python programming for ai backend services
Mlops and llmops pipeline implementation
** Mastercard is seeking a Senior Engineer in Machine Learning Engineering to lead a team within its Business & Market Insights group. The role involves implementing advanced AI/ML strategies and developing scalable solutions to drive business growth and enhance customer experiences. **

Job Summary

  • Mastercard’s Business & Market Insights group empowers organizations to achieve growth and innovation goals by providing unparalleled data-driven insights and advanced analytics.
  • This role leads the ML engineering team to execute AI/ML strategy that enables business growth, enhances customer experience, and ensures delivery of secure, scalable, and high-performing software solutions.
  • The position emphasizes engineering best practices, next generation innovation, stakeholder management, and fostering a culture of continuous learning and technical excellence.

Matching Summary

Match Score: 75

** Mastercard is seeking a Senior Engineer in Machine Learning Engineering to lead a team within its Business & Market Insights group. The role involves implementing advanced AI/ML strategies and developing scalable solutions to drive business growth and enhance customer experiences. **

Skills & Requirements

Must-have

  • Transformer-based AI model development
  • Python programming for AI backend services
  • MLOps and LLMOps pipeline implementation
  • Multi-modal AI pipeline design
  • Productionizing ML models with PyTorch and TensorFlow
  • Responsible AI practices implementation

Nice-to-have

  • Experience with data visualization tools
  • Cloud computing services knowledge
  • Strong analytical and problem-solving skills
  • Fostering culture of continuous learning
  • Stakeholder management
  • Engineering best practices focus

Key Requirements

  • Master’s or bachelor’s degree in computer science or engineering
  • Proven track record leading complex projects
  • Expert hands-on experience with AI/ML and LLM/Agentic solutions
  • Strong programming skills in Python and SQL
  • Experience with TensorFlow or PyTorch ecosystems

Work Rights

Not specified

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