Senior Engineer Machine Learning Engineering-1

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title And Summary

Senior Engineer, Machine Learning Engineering-1

Mastercard’s Business & Market Insights (B&MI) group empowers organizations to achieve growth & innovation goals by providing unparalleled data-driven insights and advanced analytics. By leveraging proprietary data and global expertise, B&MI helps businesses make smarter, more informed decisions that drive profitability and success. We turn complex data into actionable strategies that lead to better outcomes and sustained competitive advantage.

We are currently looking for a ‘Senior Engineer, Machine Learning Engineering’ for Operational Intelligence Program, within B&MI group. This role would entail development and delivery of secure, scalable, and high-performing AI/ML solutions. As a senior technologist, this role will also focus on engineering best practices, next gen innovation and stakeholder management, while fostering a culture of continuous learning and technical excellence within the team.

Roles And Responsibilities

• Execute on strategic vision for machine learning projects and initiatives within the program. Possess advanced-level hands-on experience designing, developing, and deploying AI/ML models and systems.
• Stay abreast of the latest advancements in machine learning and AI technologies. Research on current and upcoming technologies and application frameworks and provide recommendations.
• Work closely with business partners on product definition, product roadmaps, business case development, and overall direction.
• Drive scalability, security, and performance across all software solutions and platforms. Ensure product compliance to regulatory and industry standards.
• Drive next gen technology innovation to enhance product value proposition and improve customer experience. Foster a culture of day-to-day innovation within the team.
• Mentor global team members, ensuring development of robust, high-quality, and scalable software, while creating an inspiring, exciting and performance-driven work environment within the team.
• Foster a culture of collaboration, accountability, innovation, and continuous learning.
• Deliver on any other organizational assignments and responsibilities assigned from time to time.
  
  
  

• Master’s/bachelor’s degree in computer science or engineering, and a considerable work experience with a proven track-record of successfully building complex projects/products and delivering to aggressive market needs.
• Advanced-level hands on experience designing, building and deploying both conventional AI/ML solutions and LLM/Agentic solutions.
• Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems.
• Strong applied knowledge and hands on experience in advanced statistical techniques, predictive modelling, machine learning algorithms, GenAI and deep learning frameworks. Experience with AI and machine learning platforms such as TensorFlow, PyTorch, or similar.
• Strong programming skills in languages such as Java/Python/SQL is a must. Experience with data visualization tools (e.g., Tableau, Power BI) and understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage is a plus.
• High-energy, detail-oriented and proactive, with ability to function under pressure in an independent environment, along with a high degree of initiative and self-motivation to drive results.
  
  
  

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.