Senior AI/ML Engineer – Databricks & Generative AI

EY; Topeka (KS); Híbrido; USD 126.000 - 230.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

Dental coverage

401(k) plan

Paid time off

Descripción de la vacante

EY is seeking a Manager in Model Engineering to lead AI, data science, and ML initiatives on the Databricks platform. You will guide cross-functional teams, deliver production-grade AI pipelines, and ensure responsible deployment for diverse client engagements.

The role blends technical leadership with strong client interaction in a hybrid work environment. You will collaborate with data scientists, engineers, and product stakeholders to define user needs, roadmaps, and measurable outcomes,

Formación

• Bachelor’s degree required.
• 6–10 years of AI, data science, and/or ML experience.
• 2–4 years of direct technical-team leadership.
• 3–4 years deploying production AI/ML on Databricks.
• Databricks Certification with 1 professional and 1 associate.
• Strong Python, PySpark, and Scala skills.
• Experience with MLOps, AgentOps, and CI/CD on Databricks.
• NLP and deep learning experience.
• Experience designing ontologies, taxonomies, and knowledge graphs.
• Product-centric development experience.

Responsabilidades

• Lead AI workstreams from design to production deployment on Databricks.
• Build data pipelines and AI solutions (ML, GenAI, AgentAI) on Databricks.
• Improve processes through research and analysis.
• Manage multidisciplinary teams delivering complex AI initiatives.
• Engage with clients and lead workstreams from planning through execution.
• Design and govern domain ontologies and semantic models for AI solutions.

Conocimientos

AI engineering

Data pipelines

Databricks

Generative AI

Client engagement

Team leadership

ModelOps

Educación

Bachelor's degree

Databricks Certification

Herramientas

Databricks

Git

Azure DevOps

Unity Catalog

MLflow

Python

PyTorch

Kubernetes

Descripción del empleo

EY is seeking a Manager in Model Engineering to lead AI, data science, and ML initiatives on the Databricks platform. You will guide cross-functional teams, deliver production-grade AI pipelines, and ensure responsible deployment for diverse client engagements.

The role blends technical leadership with strong client interaction in a hybrid work environment. You will collaborate with data scientists, engineers, and product stakeholders to define user needs, roadmaps, and measurable outcomes,