ML Platform Engineer – Cloud & MLOps

JPMorgan Chase & Co.; Plano (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Software Engineer III to join the Consumer and Community Banking - Risk Technology Portfolio.

You will own technical deliverables, influence design, and work across cloud, data, and ML domains to solve business problems. Responsibilities include building ML model lifecycle components, deploying on AWS (Databricks, EMR, ECS, S3), and advancing SDLC/MLOps automation with AI-assisted tooling.

Qualifications

• Formal training or certification in software engineering and 3+ years of applied experience.
• Hands-on experience building and maintaining production data or ML pipelines.
• Hands-on experience using enterprise-authorized AI-assisted software development tools with demonstrated validation of outputs.
• Understanding of responsible AI use in engineering workflows and secure data handling.
• Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, etc.).
• Working knowledge of AWS and cloud-native development patterns.
• Practical experience with infrastructure-as-code (Terraform) and deployment automation.
• Ability to work independently on platform problems with moderate oversight.

Responsibilities

• Design, build, and maintain platform components for end-to-end ML model lifecycle from development to deployment and monitoring.
• Apply SDLC tools and AI-assisted development to improve automation and value.
• Leverage AI coding assist tools to improve code quality, delivery speed, and productivity with peer review and secure coding standards.
• Develop and maintain data and feature pipelines feeding ML models in production.
• Build and manage cloud-based infrastructure on AWS (Databricks, EMR, ECS, S3) to support training and serving workloads.
• Automate model deployment, testing, and release processes within the SDLC/MLOps toolchain.
• Support migration of legacy ML workloads to cloud-native, scalable platforms with zero downtime.
• Monitor platform health and model serving infrastructure; address performance and stability issues.
• Collaborate with data scientists to understand requirements and translate them into platform capabilities.
• Contribute to a team culture of diversity, inclusion, and continuous improvement.

Skills

Python

ML pipelines

Independent work

AI-assisted development

Education

Formal training in software engineering

Tools

Databricks

AWS

EMR

ECS

S3

Terraform

Docker

Kubernetes

Job description

JPMorgan Chase & Co. seeks a Software Engineer III to join the Consumer and Community Banking - Risk Technology Portfolio.

You will own technical deliverables, influence design, and work across cloud, data, and ML domains to solve business problems. Responsibilities include building ML model lifecycle components, deploying on AWS (Databricks, EMR, ECS, S3), and advancing SDLC/MLOps automation with AI-assisted tooling.