ML Ops Engineering Manager - Scale AI Pipelines (Remote)

Capgemini; México; Híbrido; MXN 1.573.426 - 2.097.902; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary and performance-based bonuses

Comprehensive benefits package

Career development and training opportunities

Flexible work arrangements

Dynamic and inclusive work culture

Private Health Insurance

Pension Plan

Paid Time Off

Descripción de la vacante

Capgemini is seeking an ML Ops Engineering Manager to lead the architecture and implementation of machine learning operations. This hybrid role combines technical execution and strategic leadership, aiming for impact and innovation.

The ideal candidate will define the technical vision for MLOps, build scalable ML pipelines, and lead a high-performing team while ensuring cross-functional collaboration with Data Science and Engineering.

Formación

• Proven experience in MLOps and machine learning infrastructure.
• Hands-on expertise with Python and AWS (SageMaker, Lambda, etc.).
• Strong background in CI/CD, model versioning, monitoring, and automation.

Responsabilidades

• Define and drive the technical vision for MLOps in alignment with enterprise goals.
• Build and maintain end-to-end ML pipelines and CI/CD workflows.
• Lead and grow a high-performing MLOps team.

Conocimientos

MLOps experience

Python expertise

AWS (SageMaker, Lambda)

CI/CD knowledge

Fullstack experience

Descripción del empleo

Capgemini is seeking an ML Ops Engineering Manager to lead the architecture and implementation of machine learning operations. This hybrid role combines technical execution and strategic leadership, aiming for impact and innovation.

The ideal candidate will define the technical vision for MLOps, build scalable ML pipelines, and lead a high-performing team while ensuring cross-functional collaboration with Data Science and Engineering.