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1 день назад

Senior AI Engineer (NLP)

Тип работы
fulltime
Грейд
senior
Английский
c1
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 (NLP): Develops and maintains NLP AI products, including RAG systems, content generation, and recommendation solutions, with an accent on rapid prototyping, evaluation, and multilingual challenges. Focus on building production-ready machine learning applications, experimenting with GenAI techniques, and improving system quality through statistical analysis.

Location: Lisbon, Portugal; flexible home-working policy available.

Company

hirify.global provides regulatory and sustainability intelligence, compliance tools, and EHS strategy consulting for global businesses, including Fortune 500 companies.

What you will do

  • Develop, maintain, and support the deployment of NLP and GenAI products, including RAG, content generation, and recommendation systems.
  • Prototype multiple approaches, identify suitable datasets, and drive data annotation for machine learning applications.
  • Iteratively improve AI systems and conduct evaluation experiments with statistical analysis of results.
  • Collaborate with technical experts and external stakeholders to solve business problems.
  • Track advances in AI engineering, machine learning, GenAI, emerging technologies, and academic research.
  • Translate and communicate technical concepts and solutions to different audiences.

Requirements

  • Bachelor’s or advanced degree in Computer Science, AI, Mathematics, or a related field.
  • At least 3 years of experience as an AI or IT Engineer; more than 5 years if the highest degree is a bachelor’s degree.
  • Experience with Python and object-oriented programming, relational databases such as PostgreSQL, content applications, and microservices.
  • Knowledge of NLP techniques, RAG systems, agentic orchestration, MCP servers, classification, data transformations, optimization, deep neural networks, semantic extraction, and text representation.
  • Experience with Docker, Azure, GCP, AWS, and RESTful or asynchronous APIs.
  • Fluency in English, strong teamwork and problem-solving skills, and the ability to work independently and transparently.

Nice to have

  • Knowledge of vector databases.
  • Frontend development, cloud administration, serverless cloud deployment, or advanced Linux experience.
  • Additional language skills.

Culture & Benefits

  • Flexible home-working policy.
  • Competitive salary package and benefits.
  • Work-life balance in a fast-paced, collaborative, and international environment.
  • Ownership and accountability for projects.
  • Inclusive workplace committed to equal opportunity and diversity.

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