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JPMorgan Software Engineer Program_Summer Analyst 
Singapore, Singapore 
449563501

Yesterday

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