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Salary
$85k – $223k per year (Estimated)
Location
In office (Bogotá)
Seniority
Senior
Overview
Company
Impact
Profile match
MercadoLibre is a leading Latin American e-commerce and financial technology company founded in 1999. The organization operates a massive online marketplace connecting buyers and sellers across 18 countries, including major markets like Brazil, Mexico, and Argentina. Additionally, its digital payments platform, Mercado Pago, has expanded into a comprehensive fintech ecosystem offering digital wallets, payment processing, and credit services throughout the region.

Como Senior Software Engineer Mercado Libre, diseñarás y escalarás sistemas innovadores y seguros que resuelven problemas reales y de alto impacto. Trabajarás en un entorno dinámico con tecnología de vanguardia, aplicando buenas prácticas de ingeniería, modelos de IA propios y aprendizaje continuo, con el propósito de democratizar el comercio electrónico y los servicios financieros en América Latina.

Imagináte emprendiendo proyectos desafiantes, dinámicos e innovadores y siendo responsable de:

  • Diseñar soluciones confiables, escalables y eficientes para servir modelos con distintos requerimientos de latencia, throughput y capacidad de cómputo.

  • Gestionar el ciclo de vida de los modelos, incluyendo versionado, despliegues progresivos, rollback y actualizaciones sin interrupciones del servicio.

  • Analizar y optimizar la performance de los modelos y de la plataforma, considerando tiempos de respuesta, utilización de recursos, costos y estabilidad operativa.

  • Evolucionar continuamente la plataforma y las herramientas que facilitan el desarrollo, despliegue y operación de modelos a escala.

  • Trabajar en conjunto con equipos de Machine Learning, infraestructura y producto para transformar modelos entrenados o sometidos a fine-tuning en servicios productivos.

¿Qué buscamos en vos?

  • Contar con experiencia en la gestión, operación, troubleshooting y configuración básica de Kubernetes y en el ciclo de vida de Docker Images.

  • Contar con conocimientos de programación o scripting para automatización y operaciones utilizando Python, Go o Bash.

  • Tener conocimientos en performance de inferencias para modelos de machine learning y LLMs.

  • Tener conocimientos en herramientas que permiten disponibilizar modelos de machine learning y LLMs.

¿Te animás a dejar huella en la tecnología de América Latina? ¡Postulate y sumate a nuestro propósito!

Modalidad de trabajo híbrida. Site Bogotá, Colombia.

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