Job title: Junior ML Engineer
Job type: Permanent
Emp type: Full-time
Industry: Computer Software
Salary: Negotiable
Location: Zaragoza (Spain)
Job published: 17-12-2025
Job ID: 36309

Job Description

Job Brief

  • We are seeking multiple Machine Learning Engineers to join a hyper-growth tech company in its offices in Zaragoza, Spain, for a 6-month contract, with a renewable possibility. 

Responsibilities:

  • Design and optimize Large Language Models using quantum-inspired techniques to address complex, real-world use cases.
  • Build and deploy LLM-based solutions, including RAG pipelines and AI agents, with a focus on performance and scalability.
  • Evaluate, benchmark, and fine-tune models to improve accuracy, robustness, and computational efficiency.
  • Develop custom deep learning solutions across multiple domains, including areas beyond LLMs such as computer vision.
  • Act as a technical expert, identifying opportunities for innovation and proposing model and architecture improvements.
  • Contribute to a strong engineering culture through documentation, code reviews, knowledge sharing, and mentoring.

 

Requirements & Skills:

  • Academic background in AI, Computer Science, Data Science, or a related field (Bachelor’s, Master’s, or PhD).
  • 1 to 3 years of hands-on experience designing, training, or fine-tuning deep learning models, particularly transformers and/or computer vision.
  • Strong practical expertise with transformer ecosystems, including PyTorch and Hugging Face libraries (Transformers, Accelerate, Datasets).
  • Solid mathematical foundations and deep understanding of neural networks, training dynamics, and inference.
  • Experience with GPU-based infrastructures, cloud environments (ideally AWS), and deploying models using containers (Docker).
  • Strong problem-solving and communication skills, with the ability to collaborate effectively in fast-paced teams; research publications are a plus, and English fluency is required.


Next Steps

  • Do you consider yourself the ideal candidate for this role? If so, take the next step and apply now. Our team will take care of the rest!