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AI Architect

Inteligência artificial

Machine learning

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Localização

Paulínia, SP

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Nível de Experiência

Sênior

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Tempo de Experiência

5+ anos em TI, Infraestrutura ou Engenharia de Software

5+ anos como Arquiteto de IA

Curtiu a vaga? Demonstre interesse e seja encontrado pela empresa

Paulínia - SP

Outsourcing

Benefícios

Requisitos

Inglês

Essa vaga exige nível mínimo de inglês

Avançado

Tecnologias Necessárias

Conhecimentos obrigatórios

Inteligência artificial

Machine learning

Tecnologias Desejáveis

Conhecimentos não obrigatórios

Databricks

Tempo de Experiência

Experiência mínima obrigatória

5+ anos em TI, Infraestrutura ou Engenharia de Software

5+ anos como Arquiteto de IA

Qualifications:

  •  Master’s degree or Engineer’s degree in computer science, statistics or mathematics.  Solid experience in designing and developing AI solutions or as Data Architect with recent experience in AI.
  •  Strong knowledge and skills in Data Engineering, Data modeling and MLOps.
  • Software engineering and DevOps principles, including knowledge of DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD.
  • Experience in working with cloud platforms and services, such as Databricks, Azure, Google Cloud, etc.
  • Excellent communication and presentation skills, both verbal and written. 
  • Strong problem-solving and analytical skills, and a creative and innovative mindset. 
  • Passionate about learning and staying updated with the latest trends and developments in AI.
  • Atividades

    AI Architect


    Job Description:


    We are looking for an AI Architect to join our team and to spearhead our AI initiatives, guiding the integration of artificial intelligence into various aspects of our business. Your responsibility will be to design AI systems from the ground up, collaborate with multidisciplinary teams to tailor AI solutions to specific business needs, and ensure these solutions are scalable and sustainable.

    Responsibilities

  • Evaluate and recommend appropriate AI technologies, platforms, frameworks, and tools that align with the solution's requirements and organizational standards.
  • Create and design end-to-end technical solutions that meet business needs, considering the architecture, functionality, and integration requirements.
  • Provide accurate cost estimations for the solution design and collaborate with relevant stakeholders to determine the budget required for the solution implementation.
  • Develop detailed technical documentation, including architecture diagrams, design specifications, and technical requirements, to guide the development and implementation teams.
  • Collaborate with development teams to ensure the correct and timely
    implementation of the solution design, providing guidance and support throughout the development process.
  • Assist in defining testing, participate in testing activities, and help resolve issues identified during testing to ensure the solution's quality and functionality.
  • Ensuring AI solutions comply with ethical standards and industry regulations.
  • Continuously evaluate the performance and effectiveness of solutions postimplementation, identifying areas for improvement and suggesting enhancements to optimize functionality and efficiency. 
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