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Urgent! Machine Learning Engineer Job Opening In Santiago de Chile – Now Hiring Xepelin

Machine Learning Engineer



Job description

Somos una FinTech que busca democratizar los servicios financieros para todo tipo de empresas.

Nos apalancamos en la mejor tecnología para crear soluciones ágiles, personalizadas y transparentes.

Nuestro objetivo es ser la FinTech B2B más grande de Latam y convertirnos en el CFO digital de todas las empresas en la región.

Xepelin nace en Chile en 2019 y, desde entonces, hemos levantado más de USD145 millones en equity y USD300 millones en asset-backed facilities para potenciar el crecimiento en toda la región, especialmente en los países donde hoy operamos, Chile y México.

La última ronda de equity fue de USD111 millones, record en Chile y una de las más grandes en América Latina para una FinTech.

¿Por qué trabajar en Xepelin?

Desafío

Estamos sacudiendo una de las industrias más poderosas y competitivas, eliminando fricciones para darle a las Pymes acceso a capital y apalancado en la última tecnología disponible.

Todo esto poniendo siempre a nuestras Pymes en el centro.

Construir un banco digital desde cero es un gran proyecto; el producto es complejo y no se puede romper, existen regulaciones estrictas y tendremos que ser mejores que algunas de las corporaciones más grandes y consolidadas del mundo.

Pero superar estos desafíos significa que habremos construido algo duradero.

Impacto

Trabajar en un equipo de clase mundial y automotivado significa autonomía, amplia experiencia en todos los proyectos y ver que tus contribuciones afectan directamente al producto e impactan a nuestras Pymes.

Trabajarás con todos nuestros productos, tendrás que tomar decisiones fundamentales.

El correcto posicionamiento de ellos marcará su futuro.

Calidad

Nuestro posicionamiento de marca y productos es algo diferenciador frente al resto del mercado por lo que invertimos mucho en crear productos de calidad que nuestras Pymes respeten y valoren.

Nos damos el tiempo para pensar fuera de la caja y volver con propuestas innovadoras.

Estamos aquí para cambiar la industria

¿Qué estamos buscamos?

En Xepelin estamos buscando personas creativas y visionarias que piensen fuera de la caja para sumarse a nuestro equipo.

Si te apasiona resolver desafíos interesantes de alto impacto y quieres ser parte de un entorno dinámico que está transformando la industria financiera, Esta oportunidad es para ti

El rol se integrará a nuestro equipo de
MLOps / Data & AI
.

Si te motiva el desafío de construir soluciones innovadoras en un entorno de rápido cambio, queremos conocerte.

Unete a nosotros, crezcamos juntos

Principales responsabilidades:

  • Diseñar e implementar pipelines CI/CD para modelos de machine learning y agentes de IA.

  • Orquestar flujos de entrenamiento, validación y monitoreo de modelos.

  • Desplegar agentes inteligentes en múltiples canales (web, WhatsApp, voz, etc.).

  • Gestionar el versionado de modelos, datos y configuraciones contextuales por canal y usuario.

Habilidades requeridas

MLOps & ML

  • Experiencia con Vertex AI para tracking y despliegue de modelos.

  • Gestión de modelos NLP, transformers o LLMs (GPT, BERT, RAG).

  • Control de calidad y monitoreo continuo de modelos en producción.

Agentes de IA

  • Experiencia en plataformas como Rasa, Azure Bot Framework o similares.

  • Conocimiento en diseño de flujos de conversación y respuestas dinámicas.

  • Experiencia en integración de agentes con APIs y bases de datos.

DevOps y seguridad

  • Dominio de herramientas como Docker, Kubernetes, Terraform, GitHub Actions.

  • Uso de herramientas para manejo de secretos.

  • Configuración de roles, autenticación y control de acceso seguro.

Deseables

  • Experiencia con agentes multimodales (voz y texto) o agentes con capacidades generativas.

  • Conocimiento en arquitecturas de microservicios.

  • Experiencia con técnicas de fine-tuning o prompt engineering sobre LLMs.

Formación

  • Título en Ingeniería, Ciencias de la Computación o disciplina similar.

  • Certificaciones en Cloud, DevOps o herramientas MLOps (deseable).


Required Skill Profession

Other General



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    Unlock Your Machine Learning Potential: Insight & Career Growth Guide


  • Real-time Machine Learning Jobs Trends in Santiago de Chile, Chile (Graphical Representation)

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    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Xepelin adheres to the cultural norms as outlined by Expertini.

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    • 2. Loyalty
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    • 7. Obeying Chile laws and regulations
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  • Interview Tips for Machine Learning Engineer Job Success
    Xepelin interview tips for Machine Learning Engineer

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the Xepelin's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
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    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
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    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
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    Final Thought:

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