Machine Learning Engineering Lead

hace 2 semanas


Buenos Aires, Argentina Ualá A tiempo completo
Buenos Aires - Technology

Descripción


SomosUalá, una fintech que nació de la convicción de trabajar por la inclusión financiera con un producto digital basado en las últimas tecnologías.

Queremos que más gente tenga acceso al sistema financiero, que puedan realizar sus transacciones personales de manera más fácil, transparente, cuándo quieran y dónde quieran

Por eso queremos sumar a nuestro equipo un/a
Machine Learning Engineering Lead.

Tendrás el desafío de...

  • Aportar a los desarrollos analíticos las mejores prácticas en torno al uso de código, al monitoreo, al CI/CD y deployment de modelos.
  • Velar por la escalabilidad, flexibilidad de esos desarrollos.
  • Comprender y usar la plataforma de Machine Learning disponible, proponer mejoras y trabajar en conjunto con el equipo de plataforma para implementarlas.
  • Implementar e impulsar nuevas tecnologías y herramientas para impulsar aún más la analítica avanzada.
  • Trabajar en la implementación de proyectos de machine learning en entornos Cloud (GCP).
  • Investigar y evaluar el estado del arte de tecnologías y metodologías que se puedan aplicar a proyectos de machine learning.
  • Cocrear junto al equipo de data scientists proyectos de ciencia de datos participando activamente en distintas etapas del ciclo de vida.
  • Liderar un equipo magnífico, integrado por personas excelentes.
Requerimientos

Para tomar este rol necesitamos qué cuentes con

  • Estudios en carreras de Sistemas, Informática o afines.
  • Al menos 2 años de experiência en puestos similares (MLOps, ML Engineering, Data Science).
  • Experiência construyendo modelos de machine learning con
    Python.
  • Diseño de pipelines de inferencia, evaluación y reentrenamiento de modelos (
    Airflow o similares).
  • Experiência desplegando servicios/infraestructura en entornos cloud (Preferentemente GCP).
  • Haber trabajado con grandes volúmenes de datos: PySpark /
    BigQuery.
  • Tener experiência utilizando Docker y/o Kubernetes.
  • Experiência en diseño e implementación de arquitectura de MLOps: Feature Store, ML monitoring, Experiment tracking, etc.

También, aunque no es fundamental, vamos a valorar que tengas
-
Conocimiento de computer vision, redes neuronales.

  • Experiência trabajando con containers (Docker, Kubernetes, etc.).
  • Conocimiento de herramientas de IaC (ej. Terraform).
  • Haber trabajado en entornos altamente cambiantes con metodologías ágiles.

Si utilizas GitHub compartinos tu perfil para que podamos ver tus trabajos sobre código

Queremos compartir con vos

  • El desarrollo conjunto de soluciones innovadoras con impacto social, en un ambiente laboral flexible, en crecimiento y de enorme potencial de desarrollo profesional.
  • Te ofrecemos descuentos en capacitación y en entidades educativas de primer nível.
  • Apostamos al balance entre la vida profesional y personal: contamos con tres semanas de vacaciones, licencias extendidas por maternidad y paternidad, día libre de cumpleaños, política de home office, y más.
  • Además te ofrecemos: cobertura de medicina prepaga para grupo familiar, descuento en gimnasio, reintegro por almuerzo, bono por referidos, entre otros beneficios.
Queremos que te sumes. Porque solo el mejor equipo hace el mejor producto.

**
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