Senior AI Engineer — Data & GenAI on Databricks

EY

Houston (TX)

Híbrido

USD 107.000 - 201.000

Jornada completa

Hace 6 días
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Ventajas ofrecidas por este puesto de trabajo

Medical and dental coverage
Pension and 401(k) plans
Paid time off

Descripción de la vacante

EY is seeking a Senior AI Engineer to drive cutting-edge AI, ML, and generative AI initiatives on the Databricks platform across diverse client engagements. You will develop scalable data pipelines, integrate agentic AI components, and lead production-grade AI solutions.

You will work with data scientists, engineers, and cloud specialists in a hybrid setting, delivering impactful results while advancing responsible AI practices and client value.

Formación

  • Bachelor’s degree in a relevant field.
  • 3-6 years of AI/ML experience.
  • Databricks Certification(s) with data engineering or ML focus.
  • Strong Python, PySpark, and/or Scala skills.
  • Ability to collaborate with diverse, hybrid/global teams.
  • Willingness to travel for client engagements.

Responsabilidades

  • Research and implement scalable AI/ML solutions on Databricks.
  • Build data engineering pipelines and AI solutions for clients.
  • Monitor and optimize learning processes with MLflow and tracing.
  • Design ontologies and semantic models for AI solutions.
  • Collaborate with cross-functional teams across design, build, deploy, and operate phases.

Conocimientos

Bachelor's degree
3-6 years AI/ML
Python
PySpark
Scala
Databricks
Team collaboration
Travel flexibility

Educación

Bachelor’s degree (4-year)

Herramientas

Databricks Platform
MLflow
Unity Catalog

Descripción del empleo

EY is seeking a Senior AI Engineer to drive cutting-edge AI, ML, and generative AI initiatives on the Databricks platform across diverse client engagements. You will develop scalable data pipelines, integrate agentic AI components, and lead production-grade AI solutions.

You will work with data scientists, engineers, and cloud specialists in a hybrid setting, delivering impactful results while advancing responsible AI practices and client value.

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