Full-Stack Engineer – ML Platform, Applied AI – Vice President

Overview

In this role, you will design and deliver production-ready ML-powered architectures that scale within a highly regulated banking environment. You’ll bridge software engineering and applied AI to bring research ideas to enterprise-grade solutions, collaborating with cloud and site reliability teams. The position offers a blend of individual contribution with leadership opportunities and a focus on secure, robust document-processing platforms. You will help shape next-generation AI systems that support cross-functional teams across the firm.

Pay / Benefits

• mentorship
• career growth opportunities
• global collaboration
• mobility opportunities
• impactful projects
• diversity and inclusion

Responsibilities

• Design and deliver enterprise-grade ML systems
• Implement distributed, multi-threaded, and scalable applications
• Build, test, and deploy secure automated pipelines for cloud systems, desktop apps, and ML solutions
• Apply software engineering and CS best practices
• Develop and deploy data-intensive, business-critical applications
• Leverage foundational libraries and services for reuse across teams
• Utilize MLOps tools for versioning, reproducibility, and observability
• Collaborate with cloud and SRE teams to build robust production architectures

Key requirements

• Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics
• Strong Python experience
• Broad understanding of frontend/backend/cloud architecture, messaging systems, databases, security, and networking
• Experience with AWS and Kubernetes
• Ability to develop and deploy business-critical, data-intensive applications
• Strong CS fundamentals and development best practices
• Ability to align ML problem definitions with business objectives

• Collaboration
• Ownership
• Learning mindset
• Python
• AWS
• Kubernetes

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