
Lead AI Fullstack Engineer(AI Platforms)
3 weeks ago
Lead AI Fullstack Engineer(AI Platforms) at Mastercard
Overview
As a Lead AI Fullstack Engineer at Mastercard, you will be a pivotal force in designing, building, and deploying end-to-end AI/ML solutions. You will leverage your fullstack expertise to create intuitive user interfaces that bring AI insights to life, while developing robust backend services and integrations that power advanced AI models. Your work will enable seamless delivery of AI capabilities through user-centric applications.
Key Responsibilities
- Lead the complete lifecycle of AI-powered applications, from frontend user experience design and implementation to backend service development and integration with AI/ML models
- Develop robust backend services and APIs that orchestrate AI/ML model training, inference, data pipelines, and monitoring; build scalable data ingestion and processing components
- Create and maintain engaging, functional user interfaces that allow users to interact with and derive insights from AI models and data
- Design and implement high-performance APIs for internal and external consumption to enable seamless communication between components and Mastercard systems
- Identify and resolve performance bottlenecks across the fullstack, from frontend responsiveness to backend efficiency, data processing, and AI model inference
- Provide technical leadership and guidance, championing best practices in fullstack development, software architecture, and operationalizing AI solutions; mentor junior engineers
- Collaborate with data scientists, AI engineers, product managers, and stakeholders to translate requirements into technical specifications and deliver AI solutions aligned with business objectives
- Ensure adherence to Mastercard's security standards, data governance policies, and compliance throughout all layers of the AI solution
Qualifications
Education: Bachelor's degree in Computer Science, Software Engineering, or related technical field; Master's degree preferred
Experience: Minimum 8+ years in fullstack software development, with 3-4 years focusing on AI/ML-driven applications or integrating with AI/ML systems
Technical Skills
- Backend: , Python/Flask/Django, RESTful API design
- Frontend: React, , TypeScript, JavaScript, HTML, CSS
- Cloud platforms and services for compute, storage, databases, and networking
- Containerization technologies
- CI/CD pipelines for automated deployment of fullstack applications
- Database technologies
- Understanding of AI/ML lifecycle and operationalizing models
- Strong communication, stakeholder management, and ability to convey complex concepts to technical and non-technical audiences
- Proven leadership in technical initiatives, cross-functional projects, and mentoring in a fast-paced environment
Security and Compliance
Corporate Security Responsibility: All activities involving Mastercard assets, information, and networks carry inherent risk. Employees must:
- Abide by Mastercard's security policies and practices
- Protect the confidentiality and integrity of information
- Report any suspected information security violations or breaches
- Complete mandatory security trainings as per Mastercard guidelines
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Engineering and Information Technology
Industries
- Financial Services
- IT Services and IT Consulting
- Technology, Information and Internet
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