Senior MLOps Platform Architect

Nodi

Buenos Aires

Híbrido

ARS 2.400.000 - 4.200.000

Jornada completa

Hace 4 días
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Descripción de la vacante

dLocal is seeking an AI & ML Staff Engineer to serve as the senior technical reference for ML infrastructure, enabling data science teams to take models from ideas to production in a reliable, observable, and compliant way.

You will own the ML platform strategy, design training pipelines, model registries, and safe online/batch inference, partnering with AI, Data Science, SRE/Infra, and Product teams to scale impact as usage grows.

Formación

  • Experience owning or designing MLOps platforms used by multiple teams.
  • Strong background in distributed systems and data/stream processing.
  • Production-grade ML pipelines including experiment tracking and model lifecycle management.
  • Hands-on experience with Databricks, Unity Catalog, MLflow, and batch/real-time deployment.
  • Familiarity with cloud-based ML platforms and container-based deployments.

Responsabilidades

  • Define end-to-end ML platform architecture used by multiple squads.
  • Design patterns for reproducible training pipelines and model promotion flows.
  • Balance reliability, performance, and cost for ML workloads with SRE/Infra and FinOps.
  • Act as go-to expert for complex MLOps questions and deployment patterns.
  • Review designs and deployments for new models ensuring non-functional requirements.

Conocimientos

MLOps
Distributed systems
Data/stream processing
ML pipelines
Databricks

Herramientas

Unity Catalog
MLflow
CI/CD for models
Azure/AWS/GCP ML services

Descripción del empleo

dLocal is seeking an AI & ML Staff Engineer to serve as the senior technical reference for ML infrastructure, enabling data science teams to take models from ideas to production in a reliable, observable, and compliant way.

You will own the ML platform strategy, design training pipelines, model registries, and safe online/batch inference, partnering with AI, Data Science, SRE/Infra, and Product teams to scale impact as usage grows.

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