AI & DevOps Engineer - People Analytics Platform

Referment; New York (NY); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Referment is hiring for an AI/DevOps engineer embedded in its People Analytics and AI group. The role focuses on building and maintaining automated reporting products, dashboards, ETL data pipelines, and the underlying data infrastructure that powers talent analytics.

You will collaborate across engineering and business users, manage deployments and onboarding, and help ensure reliability of AI tooling with proper governance and privacy safeguards.

Formación

• Bachelor's degree in a technical field.
• 3+ years of relevant experience in DevOps, data engineering, or AI operations.
• Fluency in Python for data transformation and analysis.
• Hands-on experience with Git and CI/CD pipelines.
• Experience deploying pipelines and onboarding developers.
• Affinity for data wrangling and visualizing data for a senior audience.
• Excellent organizational and communication skills with discretion for confidential information.

Responsabilidades

• Build, deploy, and maintain automated reporting products and dashboards in Python, plus ETL pipelines and data infra.
• Manage release/testing for tooling and data pipelines; onboard new developers.
• Ensure reliability of shared infra by monitoring, alerting, usage tracking, and incident response.
• Administer prompt versioning and change control for AI systems, plus first-line issue investigations.
• Run AI model evaluations, migrations, and manage query logging with privacy safeguards.
• Maintain Claude skills and plugins for technical and non-technical users.

Conocimientos

Python

Git

CI/CD

Data wrangling

Visualization

AI ops

Educación

Bachelor's degree in a technical field

Herramientas

CI/CD tooling

Descripción del empleo

Referment is hiring for an AI/DevOps engineer embedded in its People Analytics and AI group. The role focuses on building and maintaining automated reporting products, dashboards, ETL data pipelines, and the underlying data infrastructure that powers talent analytics.

You will collaborate across engineering and business users, manage deployments and onboarding, and help ensure reliability of AI tooling with proper governance and privacy safeguards.