puestos de Nlp Engineer en España
NLP Engineer (Remote)
Descripción de la vacante
A tech company developing AI solutions in Dubai is seeking a Natural Language Processing (NLP) Engineer to join their data science team. The role involves designing and implementing NLP models, pre-processing datasets, and fine-tuning transformer-based models. Candidates should have a Bachelor’s degree in Computer Science, strong Python skills, and 1–2 years of experience in NLP. This is an exciting opportunity to work on impactful projects and collaborate with a talented team.
Formación
- Bachelor’s degree in Computer Science, with experience or specialization in NLP.
- Strong Python skills.
- Understanding of NLP tasks like tokenization and sentiment analysis.
- Exposure to ML frameworks like TensorFlow or PyTorch.
- Experience with Hugging Face, SpaCy, or LangChain.
- Minimum of 1–2 years of experience in NLP and LLMs modeling.
Responsabilidades
- Assist in preprocessing and cleaning textual datasets.
- Implement basic NLP pipelines using libraries like NLTK or Hugging Face.
- Design and implement NLP models for classification and entity recognition.
- Fine-tune transformer-based models like BERT.
- Analyze model performance using evaluation metrics.
- Contribute to scalable deployment of NLP services.
Conocimientos
Educación
Herramientas
We are developing an ai ecosystem that enables businesses, in any industry, to deploy artificially intelligent solutions using both our platform and applications. Our technology allows anyone to build Ai solutions without writing a line of code or needing a degree in Data Science. Our ecosystem is world changing from healthcare to agriculture, education to industry, the applications of our technology are truly limitless.
We’re looking for a Natural Language Processing (NLP) Engineer to join our growing data science team. This is an exciting opportunity to work on cutting-edge projects, collaborate with a talented team, and see your work directly applied in production systems impacting millions of people.
- Assist in preprocessing and cleaning textual datasets
- Implement basic NLP pipelines using libraries like NLTK, or Hugging Face
- Design and implement NLP models for classification, entity recognition, and summarization
- Fine-tune transformer-based models (e.g., BERT, RoBERTa) for domain-specific tasks
- Familiarities with large language models and prompt engineering
- Analyze model performance and iterate based on evaluation metrics
- Contribute to scalable deployment of NLP services
- Bachelor’s degree in Computer Science, with experience or specialization in NLP
- Strong Python skills
- Understanding of NLP tasks (tokenization, POS tagging, sentiment analysis)
- Exposure to ML frameworks (e.g., TensorFlow, PyTorch)
- Experience with Hugging Face, SpaCy, or LangChain
- Minimum of 1–2 years of experience in NLP and LLMs modeling
* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.