Machine Learning Engineer
hace 4 semanas
Somos **eterma**x**, una compañía internacional de tecnología fundada en Argentina en 2009. Creamos aplicaciones que entretienen, conectan y agregan valor comercial alrededor de todo el mundo. Conectamos personas entre sí, a los usuarios con las marcas y a los negocios con el éxito a través de nuestras unidades de Gaming, Brand Gamification e AI Labs. Nuestro objetivo es encontrar soluciones a los desafíos humanos del presente y del futuro. Combinamos tecnología y creatividad, datos y experimentación, para abrir nuevos caminos. Nadie nos puede decir cómo, porque vamos adelante.
**Experimentá tu próximo rol**
En** etermax**, un Machine Learning Engineer trabaja como parte del equipo de Data, utilizando distintas técnicas de estadística, machine learning y programación para brindar valor al negocio a través de la explotación de datos.
El rol incluye
- Desarrollar modelos predictivos basados en técnicas de Machine Learning para predecir el comportamiento de nuestros usuarios y optimizar nuestros productos y procesos.
- Integrar modelos de machine learning en nuestros entornos productivos.
- Estar involucrado en el punta a punta de los desarrollos: diseño, implementación, puesta en producción y monitoreo.
- Identificar patrones en la demanda de las redes publicitarias implementando machine learning.
- Generar servicios que permitan subastas en tiempo real, entre los potenciales compradores de un espacio publicitario, logrando la mejor respuesta en una ventana de 10ms.
- Optimizar el delivery de anuncios y los procesos de adquisición de usuarios utilizando técnicas de Machine Learning que permitan multiplicar la eficiencia del negocio.
- Desarrollar herramientas de análisis con la capacidad de obtener métricas de rendimiento de negocio, performance y errores.
**Habilidades y conocimientos requeridos**
En** etermax** trabajamos sobre los pilares de la innovación y la mejora continua para proporcionar valor a un ritmo constante, sostenible e ininterrumpido. Nuestra cultura potencia a las personas y su crecimiento. Fomentamos un ambiente de trabajo divertido, joven y dinámico, y nos esforzamos por capacitar continuamente a nuestros talentos.
**¿Qué buscamos Game Changer?**
- Al menos 3 años de experiência en trabajos afines.
- Experiência en el entrenamiento, evaluación y puesta en producción de modelos de Machine Learning.
- Experiência en desarrollo de APIs y Microservicios.
- Experiência trabajando en entornos cloud. Preferentemente en AWS.
- Excelentes habilidades de comunicación y trabajo en equipo.
- Deseos de explorar nuevas tecnologías y evaluarlas para incorporarlas a nuestro día a día.
- Conocimiento de buenas prácticas de programación (Es un plus)
- Experiência en Deep Learning (Es un plus)
- Experiência con grandes volúmenes de datos (Spark/Databricks). (Es un plus)
- Algunas tecnologías que usamos y valoramos que conozcas: Docker, Kubernetes, Airflow, Redshift, MLFlow, SQL, NoSQL, Redis, Git/GitLab.
**¿Por qué trabajar con nosotros?**
Al sumarte encontrarás:
- **Desarrollo**: oportunidades de crecimiento profesional respaldadas por un plan de carrera y procesos de revisión personalizados.
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Compensación**:actualizaciones salariales con piso de inflación acumulada asegurada y desempeño.
- **
Bienestar**:presupuesto para equipar tu oficina en casa, reintegros por almuerzo a través de MP, reintegro de gastos en el hogar, iniciativas y abonos de bienestar físico y mental y, claro, planes de salud premium.
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Respeto por tu tiempo**:horario de trabajo flexible y viernes off todo el año (2 hs menos).
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Regreso mixto post-pandemia.**
Studio donde se desarrolla la posición**: Villa Urquiza*.**
Aún así, **etermax** cuenta con un equipo global distribuido en 6 países: Argentina (Buenos Aires e interior del país), Uruguay (Montevideo), Alemania (Berlín), Brasil (San Pablo), Colombia (Bogotá) y México (Ciudad de México).
- **Atención Debido a razones de público conocimiento en relación a COVID-19, todos los procesos de selección -y nuestro trabajo diario-, se desarrollan con total normalidad de forma remota.
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