AI Platform Engineer: Scalable Data Infra for AI Mining

Dialpad; Buenos Aires; Presencial; ARS 2.000.000 - 3.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Comprehensive benefits

Growth opportunities

Descripción de la vacante

Dialpad is seeking an AI Platform Engineer to own the data infrastructure layer enabling skill mining across the platform. You will manage BigQuery datasets, storage, IAM, and Vertex AI pipelines, building automated pipelines and data governance to support AI Mining initiatives.

You will work at the intersection of data engineering and infrastructure, partnering with AI researchers, data scientists, and product engineers to ship reliable, scalable data services and maintain observable,

Formación

• Experience in data engineering, data platform, or infrastructure with a data focus.
• Deep familiarity with BigQuery or similar cloud data warehouse and governance.
• Hands-on experience with infrastructure-as-code and provisioning cloud resources.
• Ability to design and enforce data contracts including freshness, lineage and quality.

Responsabilidades

• Own core data infrastructure: BigQuery datasets, storage, IAM, and access policies.
• Build and maintain data pipelines and data governance for mining outputs.
• Collaborate with AI, data science, and product teams to translate needs into durable infra.

Conocimientos

Data engineering

Data platform/infrastructure

Infrastructure as code

BigQuery

Data contracts

Privacy & anonymization

Async collaboration

Herramientas

Terraform

Dataform

Vertex AI

CI/CD

Descripción del empleo

Dialpad is seeking an AI Platform Engineer to own the data infrastructure layer enabling skill mining across the platform. You will manage BigQuery datasets, storage, IAM, and Vertex AI pipelines, building automated pipelines and data governance to support AI Mining initiatives.

You will work at the intersection of data engineering and infrastructure, partnering with AI researchers, data scientists, and product engineers to ship reliable, scalable data services and maintain observable,