AI Summary
Develop and optimize large language models using advanced techniques, build LLM-based applications, and collaborate with a multidisciplinary team.
Key Highlights
Develop and optimize Large Language Models (LLMs) using advanced techniques
Build LLM-based applications such as RAG systems and AI agents
Collaborate with a multidisciplinary team and mentor junior colleagues
Technical Skills Required
Benefits & Perks
Competitive salary
Signing and retention bonuses
Relocation support
Hybrid work flexibility
Equal pay
Job Description
Join a leading European deep-tech company transforming AI deployment. Work on cutting-edge technology that compresses large language models by up to 95% while reducing inference costs by 50–80%.
What You’ll Do
- Develop and optimize Large Language Models (LLMs) using advanced, quantum-inspired techniques.
- Build LLM-based applications such as RAG systems and AI agents.
- Train and deliver custom deep learning models for real-world client applications.
- Benchmark, fine-tune, and optimize models for accuracy, robustness, and efficiency.
- Collaborate with a multidisciplinary team, mentoring junior colleagues and sharing expertise.
- Stay up to date with the latest AI and LLM advancements to drive innovation.
Requirements
- Bachelor’s, Master’s, or Ph.D. in AI, Computer Science, Data Science, or related fields.
- 2+ years hands-on experience with deep learning models, particularly transformers or computer vision models.
- Strong Python skills; experience with PyTorch, HuggingFace, cloud platforms (AWS preferred), and Docker.
- Solid understanding of deep learning algorithms, neural networks, and GPU architectures.
- Fluent in English with excellent communication and collaboration skills.
Why You’ll Love This Role
- Competitive salary plus signing and retention bonuses.
- Relocation support if needed.
- Be part of a fast-scaling, innovative tech environment.
- Hybrid work flexibility and equal pay guaranteed.
Machine Learning Engineer – Fixed-Term Contract (Zaragoza, Hybrid)
📍 Location: Zaragoza, Spain
📅 Contract: Fixed-term until June 2026
🏢 Work arrangement: Hybrid (3 days in office, 2 days remote)