
Science • Biotechnology • Pharmaceuticals
Agilent Technologies is a global leader in the field of analytical and laboratory instruments. The company offers a diverse range of products and solutions, including gas and liquid chromatography, mass spectrometry, lab supplies, and software and informatics. Agilent serves various industries, such as biopharma, food and beverage testing, clinical diagnostics, and environmental testing. Additionally, Agilent provides comprehensive services for lab management, maintenance, and instrument repair. They focus heavily on advancing science through sustainable solutions and supporting genomics, pathology, and cancer research with advanced technologies.
10,000+ employees
Founded 1999
🔬 Science
🧬 Biotechnology
💊 Pharmaceuticals
💰 $500M Post-IPO Debt on 2019-09
November 28
🗣️🇧🇷🇵🇹 Portuguese Required
🗣️🇪🇸 Spanish Required

Science • Biotechnology • Pharmaceuticals
Agilent Technologies is a global leader in the field of analytical and laboratory instruments. The company offers a diverse range of products and solutions, including gas and liquid chromatography, mass spectrometry, lab supplies, and software and informatics. Agilent serves various industries, such as biopharma, food and beverage testing, clinical diagnostics, and environmental testing. Additionally, Agilent provides comprehensive services for lab management, maintenance, and instrument repair. They focus heavily on advancing science through sustainable solutions and supporting genomics, pathology, and cancer research with advanced technologies.
10,000+ employees
Founded 1999
🔬 Science
🧬 Biotechnology
💊 Pharmaceuticals
💰 $500M Post-IPO Debt on 2019-09
• Apoiar no desenvolvimento e implementação de recursos de IA voltados para otimização de processos de vendas. • Colaborar com equipes de vendas para entender necessidades e propor soluções tecnológicas. • Participar da criação e manutenção de modelos de linguagem e ferramentas analíticas. • Explorar novas tecnologias e frameworks para aprimorar soluções existentes.
• Curso superior em andamento em Engenharia da Computação, Ciência da Computação ou áreas correlatas. • Conhecimento básico em programação (Python, Java ou similar). • Familiaridade com conceitos de Inteligência Artificial e Machine Learning. • Interesse em IA aplicada a negócios. • Capacidade analítica e habilidade para resolver problemas. • Boa comunicação para interação com áreas de vendas. • Proatividade e curiosidade para aprender novas tecnologias. • Experiência com ferramentas como Power BI, ChatGPT e similares ou frameworks de IA (TensorFlow, PyTorch). • Conhecimento em modelos de linguagem e prompt engineering. • Idiomas: Português, Espanhol e Inglês – nível avançado (obrigatório).
• Opção de trabalho remoto
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