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Open nowFirst seen 43 hours ago

AI Engineer Ssr - Híbrido en CDMX

Mindtech24 open roles

Where
Bogotá, Bogota, Colombia
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Your applicationOpen nowAI Engineer Ssr - Híbrido en CDMXMindtech · Bogotá, Bogota, Colombia
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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

Sobre Mindtech

Mindtech es tu puerta de entrada a proyectos tecnológicos emocionantes y con impacto. Nos especializamos en staff augmentation y outsourcing de software de punta a punta, conectando el talento de América Latina con oportunidades a nivel global. Nuestro enfoque ágil garantiza a nuestros clientes un servicio excepcional y soluciones innovadoras.

Sobre el puesto

Estamos buscando un/a AI Developer / AI Engineer para diseñar, desarrollar e implementar soluciones basadas en inteligencia artificial que permitan resolver necesidades de negocio mediante modelos de Machine Learning y modelos generativos.

El rol estará enfocado en el desarrollo de aplicaciones de IA basadas en LLMs, sistemas de Retrieval-Augmented Generation (RAG) y búsqueda semántica, integrando modelos en aplicaciones mediante APIs y servicios cloud.

Requisitos

  • +2 años de experiencia desarrollando con Python.
  • Experiencia sólida con FastAPI para desarrollo de APIs.
  • Experiencia trabajando con librerías de ciencia de datos como NumPy, pandas y scikit-learn.
  • Experiencia trabajando con LLMs y modelos generativos (uso, fine-tuning y ajustes).
  • Experiencia implementando soluciones RAG (Retrieval-Augmented Generation).
  • Experiencia trabajando con bases de datos vectoriales como FAISS, Milvus o Pinecone.
  • Experiencia desplegando soluciones en entornos cloud (preferencia por Azure), especialmente en servicios de AI y Docker.

Responsabilidades

  • Diseñar, entrenar y optimizar modelos de Machine Learning y Deep Learning para resolver necesidades específicas de negocio.
  • Implementar técnicas de fine-tuning y optimización de modelos generativos y LLMs.
  • Desarrollar soluciones basadas en Retrieval-Augmented Generation (RAG) combinando recuperación de información con generación de contenido.
  • Integrar modelos de IA en aplicaciones mediante APIs RESTful utilizando FastAPI.
  • Diseñar e implementar estrategias de búsqueda semántica utilizando bases de datos vectoriales.
  • Gestionar y optimizar vector databases para consultas de alto rendimiento.
  • Participar en el diseño técnico, revisión de código y evolución de las soluciones de IA.

Ofrecemos

  • Trabajo Híbrido 4x1 en CDMX
  • Salario en USD
  • Certificacion GCP Cubiertas
  • Referral Program
  • Desarrollo en una Start Up en pleno crecimiento
  • Trabajo en entornos globales y multiculturales
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