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Senior Machine Learning Engineer @ Mastercard

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Mastercard  Senior Machine Learning Engineer

Job Description

Our Purpose
Title and Summary
Senior Machine Learning Engineer
Overview: We are the global technology company behind the worlds fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Our team within Mastercard Data Services: The Data Services team is a key differentiator for Mastercard, providing the cutting-edge services that are used by some of the world''s largest organizations to make multi-million dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. We are seeking an innovative Senior ML Engineer to share responsibility in designing and building a full stack web application and data pipelines. The goal is to deliver custom analytics efficiently, leveraging machine learning and AI solutions. This individual will thrive in a fast-paced, agile environment and partner closely with other areas of the business to build and enhance solutions that drive value for our customers. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. The range of work you will encounter varies from building intuitive, responsive UIs to designing backend data models, architecting data flows, and beyond. There are no rigid organizational structures, and each team uses processes that work best for its members and projects. Role Responsibilities:
  • Work as a member of an agile team to design, build, test, and deploy new products and features
  • Build and deploy AI solutions that should work at scale
  • Build appropriate data pipelines to support model deployments
  • Optimize large models for efficiency and scalability
  • Monitor the AI models and applications that are deployed
  • Lead and own everything around Machine Learning operations
  • Prepare appropriate documentation of the model deployment and processes
  • Conduct root cause analysis of data, pipeline and other processes
  • Participate in code reviews, model review, testing and debugging for high quality product
  • Conduct data analysis for different use-cases
  • Conduct data extraction, data analysis, data cleaning, preparation, modeling, and evaluation
    Support building prototypes, and proof-of-concepts
  • Collaborate with internal teams and other teams across the company
  • Expert understanding of data pipeline building
  • Push for better development practices, better code, better Solutions
  • Proactively understand stakeholder needs, goals, expectations and viewpoints to deliver results
All about you:
  • Proven experience in developing and deploying Machine learning and Deep learning solutions
  • Deep understanding of different Machine learning, Deep learning, and AI algorithms
  • High proficiency in using Python
  • R is nice to have
  • Hands on experience on ML Frameworks (Scikit learn) and Deep Learning Framework (TensorFlow, PyTorch)
  • Solid experience with SQL, Hadoop and/or Snowflake/Databricks databases
  • Good understanding of Cloud technology
  • Building and maintaining ML production pipelines
  • Curious, Critical thinker, good hacking skills and scientific reasoning
  • Strong familiarity with Software engineering practices
  • Not afraid to ask questions and propose new ideas
  • Strong technologist eager to learn new technologies and frameworks

Job Classification

Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Mastercard
Location(s): Pune

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Keyskills:   machine learning snowflake python data analysis data pipelines ai databricks sql deep learning r tensorflow data cleaning use cases full stack pytorch digital payments debugging software engineering agile hadoop ml engineer

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Mastercard

Who is Mastercard?Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks,...

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