Remote ML Platform Engineer – Flexible Hours & AI Infra

BairesDev

Bogotá

Presencial

COP 216.497.000 - 340.210.000

Jornada completa

hace 9 horas
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Ventajas ofrecidas por este puesto de trabajo

100% remote work
Competitive USD or local currency
Hardware and software setup for home
Flexible hours
Parental leaves and holidays
Mentorship and growth opportunities

Descripción de la vacante

BairesDev is seeking an ML Platform Engineer to build and maintain internal AI infrastructure that connects ML research with production engineering. You will ensure robust model gateways, evaluation pipelines, and scalable vector stores to support retrieval‑augmented generation.

Join a 100% remote role with top‑tier tech talent and exposure to AWS Bedrock, Azure OpenAI, and cutting‑edge LLM serving platforms.

Formación

  • 4+ years in ML Platform Engineering, DevOps, or Infrastructure Engineering.
  • Experience building and managing internal AI infrastructure, including model gateways and evaluation pipelines.
  • Strong proficiency with container orchestration and AI services.
  • Hands-on experience with LLM serving frameworks and cloud AI services.
  • Proficiency in Python and observability tooling.
  • Excellent English communication.

Responsabilidades

  • Architect and manage production‑grade internal AI infrastructure, including model gateways and agent deployment platforms.
  • Design and implement automated evaluation pipelines for quality of LLM outputs.
  • Build and optimize scalable vector stores for retrieval‑augmented generation.
  • Deploy and manage high‑performance LLM serving solutions (vLLM, TGI).
  • Implement observability frameworks to monitor model performance and health.
  • Collaborate with application teams to standardize workflows for training, inference, and security.

Conocimientos

Kubernetes
Docker
Python
LLM serving (vLLM/TGI)
Observability (Langfuse/LangSmith)
English proficiency

Herramientas

Kubernetes
Docker
Langfuse
LangSmith
AWS Bedrock
Azure OpenAI

Descripción del empleo

BairesDev is seeking an ML Platform Engineer to build and maintain internal AI infrastructure that connects ML research with production engineering. You will ensure robust model gateways, evaluation pipelines, and scalable vector stores to support retrieval‑augmented generation.

Join a 100% remote role with top‑tier tech talent and exposure to AWS Bedrock, Azure OpenAI, and cutting‑edge LLM serving platforms.

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