AI/ML Engineer — NLP, LLMs & Production Pipelines

Ytech

Portugal

Presencial

EUR 32 000 - 52 000

Tempo integral

14 dias+
Gerador de candidaturas

Não envies um currículo genérico — gera um currículo e uma carta de apresentação adaptados a esta função específica.

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Vantagens oferecidas por esta oferta de emprego

Health insurance
Training and certification programme
Structured career progression
Continuous support from Ytech team

Resumo da oferta

Ytech is seeking a Junior to Mid-Level AI / Machine Learning Engineer in Portugal. You will work on practical ML challenges including document processing, NLP, and LLMs, collaborating with a Senior AI Engineer and Software team.

You will build training pipelines, experiment with different approaches, and contribute to production-ready AI features, with a focus on performance, reliability, and clear documentation.

Qualificações

  • 1–4 years of professional experience in AI/ML, NLP, or related field.
  • Strong Python skills and maintainable, testable code.
  • Experience with PyTorch and Hugging Face Transformers.

Responsabilidades

  • Prepare datasets and build training, fine-tuning, and evaluation pipelines.
  • Train, fine-tune, test, and improve NLP models and language models.
  • Work with transformer models, embeddings, and information extraction systems.
  • Build PoCs and evaluate multiple approaches to complex AI problems.
  • Experiment with AI Agents, tool-calling workflows, and agent loops.
  • Measure and improve model quality, latency, and cost.
  • Collaborate with Senior AI Engineer and Software team; document findings.

Conhecimentos

Python
PyTorch
Hugging Face Transformers
NLP
Model training
Fine-tuning
AI Agents
English proficiency

Ferramentas

Git
Debugging
Testing
Docker workflows
FastAPI
PostgreSQL
Elasticsearch

Descrição da oferta de emprego

Ytech is seeking a Junior to Mid-Level AI / Machine Learning Engineer in Portugal. You will work on practical ML challenges including document processing, NLP, and LLMs, collaborating with a Senior AI Engineer and Software team.

You will build training pipelines, experiment with different approaches, and contribute to production-ready AI features, with a focus on performance, reliability, and clear documentation.

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