Senior Python Engineer AI/ML on AWS (Onsite)

VetJobs; Houston (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

JP Morgan Chase in Houston, TX seeks a Software Engineer III to design, deliver secure, scalable technology products within the Data Analytics team. You will work with Data Scientists to build cloud-based ML frameworks and ensure SDLC compliance across production-grade solutions.

You will collaborate with platform developers, leverage enterprise AI tools, and contribute to both new and ongoing projects across the firm, driving engineering excellence and robust ML deployment.

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Proven hands-on experience in Python application development.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Participate in code reviews, design discussions, and agile planning sessions
• Collaborate with SRE and production monitoring teams to ensure system reliability and performance
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Strong problem-solving, communication, and collaboration skills, with the ability to convey design choices and communicate effectively with stakeholders
• Familiarity with Machine Learning Operations (MLOps)

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Develop and maintain high-quality, secure applications using Python and AWS
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Integrate AIML solutions into complex, domain-specific operations processing systems
• Contribute to software engineering communities of practice and technology events
• Embrace continuous learning, creative problem-solving, and a can-do attitude

Skills

Python

AWS

CI/CD

MLOps

Kubernetes

Data Analytics

Software Design

Security

Team Collaboration

Problem Solving

Education

Formal training or certification in software engineering

Software engineering degree or certification

Tools

Docker

SageMaker

EKS

PostgreSQL

AWS CloudFormation

Job description

JP Morgan Chase in Houston, TX seeks a Software Engineer III to design, deliver secure, scalable technology products within the Data Analytics team. You will work with Data Scientists to build cloud-based ML frameworks and ensure SDLC compliance across production-grade solutions.

You will collaborate with platform developers, leverage enterprise AI tools, and contribute to both new and ongoing projects across the firm, driving engineering excellence and robust ML deployment.