NOUS LATAM
HR Tech • B2B • AI
NOUS LATAM is a people management platform designed to build engaged, high-performing teams. It provides companies with tools to hire tech professionals efficiently by vetting talent and ensuring perfect matches swiftly. With a focus on aligning individual and team success to organizational goals, NOUS LATAM enhances manager-employee relationships, helps employees develop through marketplaces of opportunity, and offers support during transitions, such as layoffs. Its platform utilizes AI to streamline the hiring process and foster professional connections among talent in the tech industry.
2 - 10 employees
Founded 2022
👥 HR Tech
🤝 B2B
Cientista de Dados Pleno
November 21
🗣️🇧🇷🇵🇹 Portuguese Required
NOUS LATAM
HR Tech • B2B • AI
NOUS LATAM is a people management platform designed to build engaged, high-performing teams. It provides companies with tools to hire tech professionals efficiently by vetting talent and ensuring perfect matches swiftly. With a focus on aligning individual and team success to organizational goals, NOUS LATAM enhances manager-employee relationships, helps employees develop through marketplaces of opportunity, and offers support during transitions, such as layoffs. Its platform utilizes AI to streamline the hiring process and foster professional connections among talent in the tech industry.
2 - 10 employees
Founded 2022
👥 HR Tech
🤝 B2B
📋 Description
• Desenvolver e implementar modelos de machine learning e deep learning • Realizar análises estatísticas complexas para apoiar decisões estratégicas • Construir pipelines de dados eficientes e escaláveis • Implementar e otimizar modelos de LLM (Large Language Models) para casos de uso específicos • Colaborar com equipes multidisciplinares para entender requisitos de negócio • Deploy e monitoramento de modelos em ambiente de produção • Documentar processos, metodologias e resultados de análises
🎯 Requirements
• Formação em Ciências da Computação, Estatística, Matemática, Engenharia ou áreas correlatas • Experiência sólida em Python e programação orientada a objetos • Domínio do ecossistema de ciência de dados: NumPy, SciPy, Scikit-learn, TensorFlow e/ou PyTorch • Experiência em análise estatística e modelagem preditiva • Conhecimento em Git para versionamento de código • Experiência com Docker e containerização de aplicações • Conhecimento em plataformas de nuvem (AWS, GCP ou Azure) para deploy de modelos • Experiência prática com LLMs e suas aplicações
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