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24 часа назад

Senior AI Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior AI Engineer: Building, deploying, and integrating AI solutions into production environments with an accent on scalability, reliability, and performance. Focus on developing APIs, managing MLOps pipelines, and ensuring the operational stability of generative AI and machine learning models.

Location: Porto, Portugal (Onsite)

Company

hirify.global is a global technology company providing intelligent manufacturing and supply chain solutions, combining domain expertise with integrated hardware, software, and digital services.

What you will do

  • Deploy machine learning and generative AI models into production environments.
  • Develop APIs, services, and integrations to embed AI capabilities into business applications.
  • Monitor model performance, latency, and reliability using observability and logging tools.
  • Optimize AI solutions for performance, scalability, and cost-efficiency.
  • Support CI/CD pipelines and MLOps practices to improve operational efficiency.
  • Collaborate with Product Managers and Architects to deliver scalable AI solutions.

Requirements

  • 3–6 years of experience in software, cloud, data, or AI/ML engineering.
  • Proficiency in Python and modern software engineering practices.
  • Experience deploying applications into cloud environments.
  • Strong knowledge of APIs, microservices, containers, and DevOps tooling.
  • Exposure to AI, LLMs, prompt engineering, or RAG solutions.
  • Bachelor’s degree in Computer Science, Software Engineering, or a related discipline.

Nice to have

  • Cloud certifications (Azure, AWS, or GCP).
  • Certifications in AI, Machine Learning, or Data Engineering.

Culture & Benefits

  • Opportunity to work on high-impact intelligent manufacturing and supply chain solutions.
  • Collaborative environment working with cross-functional teams of architects and product managers.
  • Commitment to diversity and inclusion in the workplace.
  • Focus on continuous learning and professional development.

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