Senior Lead AI/ML Platform Engineer

JP Morgan Chase

City of Rochester (NY)

Presencial

USD 150.000 - 190.000

Jornada completa

Hace 5 días
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Descripción de la vacante

JPMorgan Chase in New York seeks a Senior Lead Software Engineer to drive AI/ML initiatives within the CDAO. You will mentor teams, shape architecture, and deliver enterprise AI platforms that improve data quality, security, and insights.

This role focuses on scalable data pipelines, generative AI, NLP, and collaborating across technical teams to advance the firm's data and analytics journey.

Formación

  • Formal training in software engineering, data science, or related field.
  • 5+ years of experience leading teams building production AI/ML systems.
  • Proficiency in Java for client- and server-side development.
  • Proficiency in HTML, CSS, and modern front-end technologies.
  • Experience with cloud platforms (AWS, Azure, GCP) and MLOps.
  • Strong ability to communicate complex AI/ML concepts to stakeholders.

Responsabilidades

  • Provides technical leadership and strategic direction for AI/ML engineering teams developing enterprise AI solutions
  • Drives the architecture and implementation of scalable machine learning platforms and data pipelines
  • Ensures successful delivery of AI products leveraging generative AI, NLP, and other ML technologies
  • Identifies and prioritizes AI/ML initiatives aligned with business objectives and industry trends
  • Provides input on technology roadmaps, build-vs-buy decisions, and ML infrastructure investments
  • Creates a culture of innovation, experimentation, and continuous learning in AI/ML practices

Conocimientos

AI/ML leadership
Java
Front-end tech
Cloud platforms
MLOps
Financial services knowledge
Communication

Educación

Formal training in software engineering/data science

Herramientas

MLOps tooling
Cloud tooling

Descripción del empleo

JPMorgan Chase in New York seeks a Senior Lead Software Engineer to drive AI/ML initiatives within the CDAO. You will mentor teams, shape architecture, and deliver enterprise AI platforms that improve data quality, security, and insights.

This role focuses on scalable data pipelines, generative AI, NLP, and collaborating across technical teams to advance the firm's data and analytics journey.

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