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Cientifico/a de Datos - 100% remoto

Remote: 
Full Remote
Salary: 
192 - 192K yearly
Work from: 
Spain

Offer summary

Qualifications:

Advanced skills in backend development, Proficiency in Python and related technologies, Experience with databases and machine learning, Familiarity with Docker and GCP.

Key responsabilities:

  • Develop robust RESTful APIs using FastAPI
  • Implement prompt engineering techniques and manage ETL pipelines
KTI Talent Indicator logo
KTI Talent Indicator Human Resources, Staffing & Recruiting Scaleup https://www.keytalentindicator.io/
51 - 200 Employees
About KTI Talent Indicator
KTI Talent Indicator (powered by The Wise Seeker) helps you manage your organization based on SKILLS, get the talent map, find and rank the best professionals inside and outside your company, and succeed in employee reskilling.
See more KTI Talent Indicator offers

Job description

Buscamos un/a Científico/a de Datos altamente cualificado para unirse a nuestro equipo en modalidad 100% remota. La persona ideal combinará habilidades avanzadas en desarrollo backend, inteligencia artificial, aprendizaje automático y DevOps.

Funciones Principales

  • Desarrollar APIs REST robustas utilizando FastAPI, SQLAlchemy y Pydantic
  • Diseñar y optimizar bases de datos MySQL/Postgres y MongoDB
  • Implementar técnicas de ingeniería de prompt, incluyendo zero-shot y few-shot learning
  • Realizar fine-tuning de modelos de lenguaje de gran escala (LLMs)
  • Desarrollar y desplegar clasificadores multivariable
  • Crear y mantener pipelines ETL eficientes
  • Gestionar el despliegue y monitorización de cargas de trabajo en entornos Docker/Kubernetes en Google Cloud Platform (GCP)
  • Implementar y mantener flujos de trabajo de CI/CD

Requisitos

  • Experiencia demostrada en desarrollo backend con Python
  • Dominio de FastAPI, SQLAlchemy y Pydantic para la creación de APIs REST
  • Conocimientos sólidos en bases de datos relacionales (MySQL/Postgres) y NoSQL (MongoDB)
  • Experiencia en ingeniería de prompt y fine-tuning de LLMs
  • Habilidad para desarrollar y desplegar modelos de machine learning, especialmente clasificadores multivariable
  • Experiencia en diseño e implementación de pipelines ETL
  • Familiaridad con Docker, Kubernetes y Google Cloud Platform
  • Conocimientos en prácticas de CI/CD
  • Capacidad para trabajar de forma autónoma en un entorno remoto

Required profile

Experience

Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
Spanish
Check out the description to know which languages are mandatory.

Hard Skills

Custom BackendPython (Programming Language)Machine LearningFastAPIKubernetesPerformance TuningPostgreSQLMongoDBSQLAlchemyGoogle Cloud Platform (GCP)CI/CDPrompt EngineeringMySQLDocker (Software)Pydata
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