Python Engineer (AI / Machine Learning Focus)
Salário estimado
R$ 8k - 12k/mês
Score de curadoria
Indicador interno 0 a 100: transparência salarial, stack, descrição útil e sinais de qualidade do anúncio. Não é match com o seu CV.
Salário estimado
R$ 8k - 12k/mês
Score de curadoria
Indicador interno 0 a 100: transparência salarial, stack, descrição útil e sinais de qualidade do anúncio. Não é match com o seu CV.
Texto agregado para leitura rápida. Confira sempre a fonte original ao enviar a candidatura.
Join Our Team
Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.
As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.
We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.
About The Role
We are building a pipeline of Python Engineers with strong AI and Machine Learning experience to support current and upcoming projects across multiple clients and industries.
This is not a traditional backend role. We are looking for engineers who are actively working with AI-driven solutions, building real-world applications using modern tools and frameworks.
You will be part of a talent pool considered for high-impact opportunities involving AI integrations, data-driven systems, and intelligent automation.
We are especially interested in engineers who combine strong technical fundamentals with the ability to apply AI in practical, scalable ways.
Key Responsibilities:
Seleção por stack em comum com esta oportunidade
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