Senior AI/ML Engineer & Databricks Solutions Lead

EY; Dallas (TX); Híbrido; USD 126.000 - 230.000; Jornada completa

Descripción de la vacante

EY’s AI, Data & Engineering team seeks a Manager in Model Engineering to drive production-grade AI solutions on the Databricks platform. You will lead cross-functional teams, design scalable data pipelines, and govern ontologies and semantic models to deliver value for clients.

Heavy client interaction and a hybrid work model are expected. You will mentor diverse engineers, align product-centric AI initiatives with client goals, and stay ahead of AI trends, including MLOps, AgentOps, and

Formación

• Bachelor’s degree required (4-year degree).
• 6–10 years of relevant experience in AI, Data Science, and/or Machine Learning.
• 2–4 years of experience directly managing technical teams.
• 3–4 years of experience building and deploying production AI/ML solutions on Databricks.
• Databricks Certification with multiple related certifications.

Responsabilidades

• Lead AI workstreams from design through production deployment and optimization on Databricks.
• Build data engineering pipelines and AI solutions (ML, GenAI, Agentic AI).
• Deliver production-grade data and AI pipelines, ontologies, and semantic models.
• Collaborate with data scientists, engineers, and platform teams across client projects.
• Ensure responsible deployment, quality, and measurable business outcomes.

Conocimientos

Databricks

AI engineering

Data pipelines

ModelOps

Python

Team leadership

Client engagement

Educación

Bachelor’s degree

Master’s degree (preferred)

Herramientas

Databricks

Unity Catalog

Model Serving

MLflow

PyTorch

Azure DevOps

Descripción del empleo

EY’s AI, Data & Engineering team seeks a Manager in Model Engineering to drive production-grade AI solutions on the Databricks platform. You will lead cross-functional teams, design scalable data pipelines, and govern ontologies and semantic models to deliver value for clients.

Heavy client interaction and a hybrid work model are expected. You will mentor diverse engineers, align product-centric AI initiatives with client goals, and stay ahead of AI trends, including MLOps, AgentOps, and