AI & DevOps Engineer for People Analytics Platform

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

Descripción de la vacante

Referment is seeking an AI/DevOps engineer to build, deploy, and maintain automated reporting products and dashboards using Python, ETL pipelines, and data infrastructure within the People Analytics and AI group.

You will manage release/testing, onboard developers, and ensure reliability of shared AI infrastructure with monitoring and incident response. Experience in AI operations and data visualization for senior audiences is valued.

Formación

• Bachelor's degree in a technical field.
• Three 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.
• Ability to visualize data for a senior audience.

Responsabilidades

• Build, deploy, and maintain automated reporting products and dashboards, primarily in Python, along with ETL pipelines and data infrastructure.
• Manage release and testing for people-analytics tooling and data pipelines, keep repositories healthy, and onboard new developers.
• Ensure reliability of shared infrastructure and applications by setting up monitoring and alerting, tracking usage, and leading incident response.
• Administer prompt versioning and change control for AI systems, including first-line investigation of feature issues.
• Run AI model evaluations, carry out migrations as models are updated or retired, and manage query logging and usage analytics with privacy safeguards.
• Maintain the team's Claude skills and plugins for both technical and non-technical users.

Conocimientos

Python

Git

CI/CD

Data wrangling

Data visualization

AI operations

DevOps

Educación

Bachelor's degree in a technical field

Herramientas

CI/CD tooling

Descripción del empleo

Referment is seeking an AI/DevOps engineer to build, deploy, and maintain automated reporting products and dashboards using Python, ETL pipelines, and data infrastructure within the People Analytics and AI group.

You will manage release/testing, onboard developers, and ensure reliability of shared AI infrastructure with monitoring and incident response. Experience in AI operations and data visualization for senior audiences is valued.