Machine Learning Engineer

hace 3 semanas


Buenos Aires, Argentina Aliantec A tiempo completo

**¿Qué hace la compañía?**

**Empresa de nearshore y outsourcing**, ubicada en Uruguay, dedicada a ampliar los equipos de ingeniería de software de sus clientes con sedes en Norteamérica y Reino Unido, desde distintos países de Latinoamérica. Se definen como una compañía “Retail Teach”, con una cultura Startp-up donde tu opinión es valorada.

La posición es para trabajar en el **desarrollo de una Api de Seguridad para las Dating Apps de uno de sus Clientes.**

**¿Qué necesitás para ser parte del equipo?**

A nível personal:

- **Buscamos colaboradores/as que los desafíe el aprendizaje continuo.**:

- Esperamos que te sumes a **contribuir y proponer activamente.**:

- Poseer habilidad para **trabajar en equipo y autonomía.**

A nível técnico:

- **Al menos 5 años de experiência como Machine Learning Engineer.**:

- Manejo de **Python y ML frameworks como XGBoost y PyTorch **| Excluyente.
- Esperamos que hayas trabajado en **prácticas de MLOps, pruebas y tecnologías en la nube **| Deseable.
- Contar con un nível de **inglés avanzado** | Excluyente.

**¿Qué vas a hacer?**

Vas a participar de **proyectos desde cero** en una industria con millones de usuarios activos diarios contribuyendo al desarrollo del producto, proporcionando la moderación de contenido impulsada por la IA.

**¿Cuál es el desafío de la posición?**

El desafío de la posición es que vas a formar parte de un **proyecto en el cual desde un primer momento busca contar con los contactos necesarios para poder trabajar con datos reales y en volúmenes significativos de entrada, creando un MPV más sólido que los estándares.** Para ello será indispensable la adaptación profesional, autonomía y dinamismo hacia los cambios en el roadmap de acuerdo a las necesidades de los inversores.

**¿Con quién trabajarás?**

La empresa tiene gran parte de su equipo en Los Ángeles, USA. Te sumarías al **Machine Learning team con 3 personas, reportando al Socio Fundador de la compañía.**

**¿Con qué herramientas trabajarás?**

Las herramientas con las que se trabajará serán**:Python, ML frameworks (XGBoost,PyTorch), Machine Learning, Deep Learning, MLOps practices (CI/CD, testing), AWS.**

**¿Cuándo y dónde trabajarás?**

Trabajarás **100% en remoto** desde donde más te guste, siempre y cuando tengas una buena conexión a internet, un perk que hoy en día cobra más valor que nunca. En una **jornada flexible de lunes a viernes de 9 a 18 hs.**

**¿Qué ofrecen?**
- **Pago en USD fijo mensual.**:

- **25 días anuales de PTOs (Paid Time Offs).**:

- Modalidad de trabajo **Contractor.**:

- **100% trabajo remoto.**:

- **Horario Flexible.**:

- **Capacitaciones.**:

- **Clases de inglés.**:

- **Tiempo indeterminado.**

**¿De qué fases consta el proceso de selección?**

Tendrás una **primera entrevista con** alguna de nuestras Recruiters, **Antonella Mora**o **Mariana Herrero**,** para conocer tus experiências laborales e intereses.

Posteriormente tendrás una **primera entrevista con HR y luego una entrevista técnica**, ambas con nuestro cliente.

Y por último, **una entrevista de fit cultural y entrevista técnica** con conceptos generales con test cases de una app de pruebas con el equipo de USA en inglés.

Tipo de puesto: Tiempo completo


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