Job Title:
Senior Machine Learning Engineer
Overview:
Overview:
We are the global technology company behind the world’s 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
To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.
