JPMorgan Software Engineer Program_Summer Analyst 

Singapore, Singapore 

449563501

Job Responsibilities:

• Architect and develop scalable Python-based systems that support ML-driven risk classification, tagging, and approval triage
• Integrate ML models into microservices and APIs for use within AI Judge workflows
• Lead engineering design reviews, establish coding standards, and ensure system robustness and security
• Build and maintain feature pipelines and model-serving infrastructure using cloud-native tools
• Work closely with ML scientists, data engineers, and product managers to align on requirements and delivery timelines
• Drive engineering quality, CI/CD integration, observability, and unit testing for AI-enabled software components
• Mentor junior engineers and uphold engineering excellence across the team

Required Qualifications, Capabilities, and Skills:

• Master's degree in computer science, Software Engineering, or related field
• 6+ years of experience as a backend or AI/ML software engineer
• Proficiency in Python with deep experience in building distributed and containerized services (e.g., Flask/FastAPI, Docker, Kubernetes)
• Strong understanding of ML deployment workflows, feature engineering, and serving architectures
• Experience building and deploying APIs and ML inference services in production
• Familiarity with ML model management, versioning, and performance monitoring
• Strong engineering fundamentals: data structures, system design, testing, and performance optimization
• Excellent communication and collaboration skills across technical and non-technical teams

Preferred Qualifications, Capabilities, and Skills:

• Experience with AWS cloud stack (S3, SageMaker, Lambda, ECS, etc.)
• Experience working with structured data, tabular models, and metadata-driven platforms
• Experience with regulated data systems, enterprise controls, or secure data processing workflows
• Contributions to open-source ML or backend tooling frameworks