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7 дней назад

Senior AI Data Scientist

Формат работы
hybrid
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 Data Scientist (NLP/GenAI): Developing end-to-end data science and machine learning solutions for client projects with an accent on NLP, generative AI, data preparation, modelling, and evaluation. Focus on building production-ready ML initiatives, applying LLM and RAG techniques, and deploying solutions with Python and MLOps practices.

Location: Lisbon, Portugal. Hybrid: 2 to 3 days per week at the office.

Company

hirify.global provides data science and AI consulting services for client projects.

What you will do

  • Collaborate on AI and data science projects for clients.
  • Work across the full data science and machine learning lifecycle, from data understanding and preparation through modelling, evaluation, and deployment.
  • Develop solutions involving NLP, LLMs, RAG, prompt engineering, and generative AI.
  • Prepare and transform data using tools such as SQL and pandas.

Requirements

  • Senior level with at least 5 years of direct professional experience in Data Science or ML projects.
  • Professional experience delivering end-to-end data science and machine learning initiatives, including data understanding, preparation, modelling, evaluation, and deployment.
  • Solid command of data science concepts and principles, especially exploratory data analysis, modelling, and evaluation.
  • Professional experience with Python and industry-standard Python data science and ML frameworks, such as scikit-learn, PyTorch, Keras, OpenCV, and pandas.
  • Professional experience in data preparation and transformation, including SQL and pandas.
  • Experience with LLMs, RAG, prompt engineering, and generative AI, such as OpenAI or Bedrock.
  • Professional experience with cloud infrastructure.

Nice to have

  • AWS experience.
  • Professional experience with MLOps solutions such as MLflow or Databricks.
  • Professional experience with software engineering best practices and tools, including Git, CI/CD, and unit testing.

Culture & Benefits

  • Hybrid work arrangement requiring attendance at the office 2 to 3 days per week.
  • Opportunity to work on varied AI and data science projects for clients.

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