Senior MLOps Engineer: Scalable AI Platforms & Spark

Capgemini Engineering

Bogotá

Presencial

COP 120.000.000 - 180.000.000

Jornada completa

14 días+

Recibe más respuestas de empleadores

Envía un currículum específico para el puesto de trabajo en cuestión de minutos.

Descripción de la vacante

Capgemini Engineering in Bogotá, Colombia seeks a Senior MLOps Engineer to architect, deploy, and scale enterprise AI/ML solutions. You will collaborate with data scientists and engineers to deliver secure, production-ready ML platforms across cloud environments.

We require 6–10 years in Data Engineering or MLOps, strong PySpark optimization, and experience with Azure Databricks, Spark, and CI/CD. Join a global leader delivering scalable AI capabilities for diverse industries.

Formación

Master’s in computer science, data science, data engineering or a related field.
6–10 years of experience in Data Engineering or MLOps.
Strong hands-on experience with PySpark optimization and cluster performance tuning.

Responsabilidades

Collaborate with stakeholders to translate requirements into scalable ML solutions.
Lead architecture reviews, solution design workshops, and end-to-end ML/ MLOps strategies.
Design, build, and maintain scalable, secure, production-ready ML platforms across cloud environments.
Develop reusable frameworks, templates, and best practices to accelerate model development, deployment, and operation.
Optimize and refactor large-scale PySpark applications for performance, scalability, reliability, and cost efficiency.
Configure, tune, and manage Spark clusters, including executor sizing and resource allocation.
Design, implement, and maintain CI/CD pipelines for automated model training, testing, deployment, and monitoring.
Establish and enforce MLOps best practices, including version control, experiment tracking, model registry, governance and reproducibility.