VALCE Talent Solutions
11 - 50 employees
Founded 2016
🤝 B2B
🎯 Recruiter
💼 Consulting
B2B • Recruitment • Consulting
VALCE Talent Solutions is a company specializing in nearshoring, IT talent acquisition, and consultancy aimed at helping businesses expand globally, particularly in Mexico, LATAM, and the United States. They offer customized solutions that include talent recruitment, workforce management, and the integration of technology and artificial intelligence to enhance business processes. With a strong focus on strategic consulting, VALCE aims to connect technology, talent, and tangible results, boasting a robust network of IT professionals and a proven track record of successful placements and project scaling.
Analytics Data Science, IoT
Job not on LinkedIn
🕒 August 4
🗣️🇪🇸 Spanish Required
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VALCE Talent Solutions
11 - 50 employees
Founded 2016
🤝 B2B
🎯 Recruiter
💼 Consulting
B2B • Recruitment • Consulting
VALCE Talent Solutions is a company specializing in nearshoring, IT talent acquisition, and consultancy aimed at helping businesses expand globally, particularly in Mexico, LATAM, and the United States. They offer customized solutions that include talent recruitment, workforce management, and the integration of technology and artificial intelligence to enhance business processes. With a strong focus on strategic consulting, VALCE aims to connect technology, talent, and tangible results, boasting a robust network of IT professionals and a proven track record of successful placements and project scaling.
📋 Description
• Desarrollar aplicaciones de ML/NLP listas para producción • Construir productos de extremo a extremo, desde APIs backend hasta interfaces frontend • Implementar APIs y pipelines de machine learning • Gestionar el procesamiento de datos y las APIs de inferencia de modelos • Diseñar arquitecturas escalables • Desplegar soluciones utilizando AWS o plataformas cloud-agnostic, ECS/Fargate, Docker y CI/CD
🎯 Requirements
• Sólida experiencia en Python, especialmente FastAPI • Experiencia sólida con React • Experiencia en pipelines de ML basados en Python, especialmente NLP • Experiencia construyendo productos de extremo a extremo, desde APIs backend hasta interfaces frontend • Experiencia práctica con AWS o despliegues cloud-agnostic • Conocimientos de ECS/Fargate, Docker y CI/CD • Sólida comprensión del procesamiento de datos • Conocimientos de APIs de inferencia de modelos y arquitectura escalable
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