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1 VAGA DE Analista Desenvolvedor EM São Paulo / SP
Analista Desenvolvedor
Nome da empresa disponível para cadastrados.
A combinar
São Paulo / SP
Efetivo/CLT
Benefícios áreas de lazerbolsas de estudo requisitos tecnologias necessárias conhecimentos obrigatórios data science machine learning tecnologias desejáveis conhecimentos não obrigatórios arquitetura de software aws google cloud python inteligência artificial modelagem matemática modelagem estatística spark senioridade tempo de experiência pleno/sênior ( de experiência) mandatory requirements: over 3 years of hands-On experience with machine learning and data science. Knowledge of deep learning techniques. Strong command and practical experience in python and related libraries (such as pandas, scikit-Learn, tensorflow, pytorch). Knowledge of cloud services (aws, azure, gcp). Ability to implement, validate, and interpret complex ml algorithm results. Mastery of fundamental concepts of data science and statistics. Research and analysis skills to tackle unstructured problems. Solid knowledge in software engineering, including software design, testing, and debugging. Strong understanding of software engineering principles and best practices. Familiarity with version control (git) and agile methodologies. Desirable qualifications: experience with reinforcement learning and its practical applications. Interest in learning and applying new technologies and methodologies. Experience with continuous integration and continuous delivery (ci/cd) systems. Atividades in this team, you will have the opportunity to: be immersed in an incredible culture which is our main asset along with our people. Contribute to the development of innovative artificial intelligence and machine learning products. Collaborate with a multidisciplinary team to integrate ml models into our products. Design and implement machine learning models to solve complex problems. Implement efficient and scalable machine learning algorithms. Maintain and improve existing systems with a focus on efficiency and scalability. Actively participate in the startups strategy, product, and culture.
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