Lead ML Platform Engineer | MLOps on AWS

Fairygodboss

Plano (TX)

On-site

USD 140,000 - 210,000

Full time

3 days ago
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Job summary

JPMorganChase is seeking a Lead Software Engineer to guide end-to-end ML model lifecycle development within a secure, scalable corporate tech environment. You will design platform components, apply AI-assisted coding tools, and manage cloud infrastructure on AWS to enable training and serving workloads.

The role emphasizes secure software practices, performance monitoring, and collaboration within a diverse, inclusion-minded team.

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to evaluate AI outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows with secure handling of data.

Responsibilities

  • Design, build, and maintain platform components supporting end-to-end ML model lifecycle.
  • Leverage AI-assisted development tools to improve code quality, delivery speed and productivity.
  • Build and manage cloud-based infrastructure on AWS to support model training and serving workloads.
  • Automate model deployment, testing, and release processes within the SDLC/MLOps toolchain.
  • Monitor platform health and model serving infrastructure; resolve performance issues.

Skills

Software engineering
Agile/SCRUM
Problem solving

Education

Bachelor's degree in Computer Science or related field
Master's degree

Tools

AWS
Databricks
EMR
ECS
EKS
RDS
Lambda
S3
JMS
REST
Web Services
SOAP
XML
SQL
GitHub Copilot

Job description

JPMorganChase is seeking a Lead Software Engineer to guide end-to-end ML model lifecycle development within a secure, scalable corporate tech environment. You will design platform components, apply AI-assisted coding tools, and manage cloud infrastructure on AWS to enable training and serving workloads.

The role emphasizes secure software practices, performance monitoring, and collaboration within a diverse, inclusion-minded team.

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