Vaga de parceiro

Senior AI 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

  • Growth Opportunity: Elevate your career by driving AI strategy, mentoring top talent, and shaping the future of AI adoption.
  • Gain exposure to complex challenges and high-impact projects that push the boundaries of machine learning.
  • Elite Team: Collaborate with industry-leading AI/ML engineers, researchers, and business leaders in a dynamic, high-performance environment.
  • Be surrounded by experts who challenge and inspire innovation at every level.
  • This role will leverage AI to solve complex, real-world problems for global clients.
  • Our team is passionate about building robust, scalable solutions powered by machine learning and large language models.
  • We are looking for a Senior AI Engineer to join our growing team and help shape the next generation of intelligent data products.
  • What Youll Do: Design, train, and deploy large language models (LLMs) and other machine learning models for real-world applications Lead end-to-end development of AI/ML products, from research and prototyping to production and post-deployment optimization Architect and implement Retrieval-Augmented Generation (RAG) systems and other hybrid AI approaches Collaborate with data scientists, software engineers, and product managers to bring AI solutions to life Experiment with and evaluate multiple models and techniques to drive innovation and performance improvements Optimize models for scale, latency, and efficiency in production environments Write high-quality, maintainable Python code in a collaborative engineering setting What Were Looking For: 5+ years of experience in AI/ML engineering, with a strong focus on LLMs and generative AI Proven track record of training, fine-tuning, and deploying large language models in production Strong understanding of modern ML frameworks (e.
  • g.
  • , PyTorch, TensorFlow) and NLP pipelines Hands-on experience building end-to-end AI systems, including data ingestion, model development, deployment, and monitoring Expertise in Retrieval-Augmented Generation (RAG) systems Solid coding skills in Python and experience with scalable cloud environments (e.
  • g.
  • , AWS, GCP, Azure) Experience solving real-world problems using AI/ML in production environments Strong communication skills and the ability to work effectively in cross-functional teams

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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