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Open nowFirst seen 43 hours ago

Machine Learning Engineer

Option18 open roles

Where
Santiago, Santiago Metropolitan Region, Chile, Remote
Work mode
Remote
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Your applicationOpen nowMachine Learning EngineerOption · Santiago, Santiago Metropolitan Region, Chile, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Option's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 43 hours ago

The posting

¿Quiénes somos?

Option es una empresa con casi 20 años en el mercado Latinoamericano, con más de 1.000 proyectos de Data & Analytics. Aliados estratégicos de grandes organizaciones latinoamericanas, impulsando su transformación hacia una cultura Data-Driven, liderando en las industrias más importantes, diversos proyectos de AI, Agentic y mucho más.

En Option, creemos en un mundo donde las soluciones tecnológicas no tienen límites. Nuestra misión es transformar los desafíos en oportunidades mediante la creación de soluciones innovadoras que potencien la Aceleración Digital. Nuestro equipo es dinámico, colaborativo y apasionado por la tecnología. Únete a una organización que está redefiniendo cómo el mundo utiliza los datos y la tecnología para resolver problemas complejos.

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¿Qué buscamos?

Buscamos un Machine Learning Engineer talentoso y apasionado, que se una a nuestro equipo de Advanced Analytics. Trabajarás en estrecha colaboración con nuestros equipos para promover e implementar la cultura MLOps, permitiendo conectar los modelos con el mundo real, es el encargado tanto de disponibilizarlos en un ambiente altamente escalable, como de recopilar su interacción con la realidad.

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¿Qué te ofrece este puesto?

  • La oportunidad de trabajar en proyectos desafiantes y de vanguardia que tienen un impacto real en el mundo.
  • Un ambiente de trabajo colaborativo y dinámico donde podrás aprender de los mejores y desarrollar tus habilidades.
  • La posibilidad de formar parte de una comunidad de mentes creativas y apasionadas que comparten tu pasión por la tecnología.
  • Un paquete de compensación y beneficios competitivo.

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¿Qué necesitas para tener éxito en este rol

  • Experiencia sólida en Python como lenguaje primario.
  • Experiencia desarrollando Microservicios y APIs.
  • Experiencia interactuando con pipelines CI/CD (Cloudbees/Jenkins).
  • Experiencia desplegando recursos via Infrastructure As a Service (Terraform).
  • Experiencia implementando servicios de GCP: (Pub/Sub, Cloud Functions, Vertex, Cloud Run, App Engine, Cloud Storage, EventArc, Datastore) o experiencia similar en AWS (Amazon SQS/SNS, Lambda, SageMaker, Fargate, EKS, Beanstalk, S3, Eventbridge, DynamoDB).
  • Experiencia con Test Driven Development.
  • Experiencia con Docker/Kubernetes.
  • Familiaridad con tecnologías de bases de datos tanto SQL como NoSQL.
  • Excelentes habilidades de comunicación y colaboración.
  • La capacidad de trabajar de forma independiente y como parte de un equipo.
  • Una pasión por la tecnología y un deseo constante de aprender y crecer.

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¿Qué ofrecemos?

  • Participar en iniciativas de alto impacto relacionadas con analítica avanzada, automatización y modernización de plataformas de datos.
  • Colaborar con equipos multidisciplinarios: Data Analysts, Data Engineers, Data Scientists, Arquitectura y negocio.
  • Oportunidad de proponer y construir frameworks internos, automatizaciones y mejoras end-to-end.
  • Un ambiente dinámico, moderno y orientado a la innovación continua.

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Condiciones y Beneficios

  • Option Academy — Aprendizaje continuo
  • Certificaciones con Google, AWS, Azure y más
  • Bienestar: Pausas Activas, Coaching, Tarde Libre de Cumpleaños
  • Actividades de Cultura y Team Building
  • Programas de Referidos
  • Días Libres Adicionales
  • Ajuste Anual de Sueldo
  • Pago de Licencias Médicas, Bono Sala Cuna y más

¡Conoce acerca de nosotros! https://www.option.tech

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One press. We do the rest.

  1. A CV for this posting

    Written against Option's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Option's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Option's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

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  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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