Vaga de parceiro

Machine Learning Engineer - São Paulo / SP

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees.
  • Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients.
  • Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe.
  • Ascendion is built differently to engineer the next.
  • Ascendion | Engineering to elevate lifeWe have a culture built on opportunity, inclusion, and a spirit of partnership.
  • Come, change the world with us :Build the coolest tech for worlds leading brandsSolve complex problems and learn new skillsExperience the power of transforming digital engineering for Fortune 500 clientsMaster your craft with leading training programs and hands-on experienceExperience a community of change makers!Join a culture of high-performing innovators with endless ideas and a passion for tech.
  • Our culture is the fabric of our company, and it is what makes us unique and diverse.
  • The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at AscendionLocation : Remote (LATAM)Employment Type : ContractAs an AI Engineer, you''ll collaborate closely with our team to :Develop and fine-tune AI models for NLP, generative AI, and automationImplement scalable AI pipelines using cloud-based solutionsIntegrate AI-driven workflows into existing systemsOptimize model performance and ensure scalability and efficiencyQualifications :Bachelor''s or Master''s in Computer Science, AI, or related field5+ years of experience in AI / ML developmentProficiency in AI frameworks (e.
  • G.
  • , PyTorch, TensorFlow) and programming skills (e.
  • G.
  • , Python)Experience with LLMs, NLP, and cloud-based AI infrastructure (e.
  • G.
  • , Azure ML, Kubernetes)Tell us about your experiences, education, and ambitions.
  • Bring your knowledge, unique viewpoint, and creativity to the table.
  • Lets talk!#J-18808-Ljbffr

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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