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5 дней назад

Junior AI Data Engineer (Machine Learning & Data Processing)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
c1
Страна
Portugal/Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Junior AI Data Engineer (Machine Learning & Data Processing): Supporting AI/ML model training, evaluation, deployment, and data processing pipelines with an accent on Python, cloud services, machine learning frameworks, and MLOps tooling. Focus on building data ingestion workflows, experimenting with Generative AI and RAG, and integrating SQL/NoSQL, vector, and graph databases.

Location: Lisbon, hybrid, with up to 3 remote days per week. Candidates must already have the legal right to work in Europe.

Company

hirify.global delivers this opportunity for a client working in AI and data science.

What you will do

  • Support AI/ML model training, evaluation, and simple deployment using Python and related tools.
  • Develop and maintain data processing, ingestion, and API-based pipelines with SQL/NoSQL, vector, and graph databases.
  • Contribute to AI solutions using TensorFlow, PyTorch, Transformers, Generative AI, RAG, and reasoning patterns.
  • Set up and manage AWS services including S3, SageMaker, and Bedrock.
  • Use GitLab, Docker, and Airflow to streamline DevOps/MLOps workflows.
  • Work according to Agile methodologies and support iterative delivery.

Requirements

  • At least 1 year of experience or hands-on projects in AI/ML, data processing, or software development.
  • Basic Python programming skills, familiarity with SQL, and experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • Introductory knowledge of AWS services such as S3, SageMaker, or Bedrock.
  • Awareness of Generative AI concepts and initial exposure to vector or graph databases.
  • Good understanding of Agile methodologies.
  • Fluent English and French; existing legal right to work in Europe required.

Nice to have

  • Experience with JavaScript frameworks.
  • Knowledge of APIs, Kubernetes, Artifactory, Guards, or A2A.
  • Familiarity with human-in-the-loop approaches or multi-agent systems.
  • Understanding of Docker, GitLab, or Airflow.

Culture & Benefits

  • Hybrid work model with up to three remote days per week.
  • Opportunity to contribute to innovative AI and data science projects.
  • Exposure to practical AI use cases, cloud platforms, and MLOps workflows.
  • Agile environment focused on iterative delivery and continuous improvement.

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