Senior Research Scientist (Applied Research - Scalable AI/ML Solutions, SLMs & GenAI)
External
Nielseniq · Madrid, SpainPrepare for this interview
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Requirements
- Experience with model deployment, system scalability, or performance optimization
- Familiarity with production-oriented thinking for ML / AI systems
- Experience working across both research and applied implementation
- Exposure to agentic AI concepts and orchestration frameworks
- Experience collaborating in cross-functional environments with engineering or product stakeholders
- Technologies:
- Required: Python, PyTorch, Transformers
- Preferred: Hugging Face ecosystem, ML evaluation tooling, orchestration frameworks, model optimization / deployment tooling, cloud or scalable ML platforms
- Not Required: Deep stakeholder management expertise or people management experience
- Role Emphasis:
- Heavy focus on applied research into scalable AI/ML solutions
- Strong emphasis on SLMs and GenAI approaches that are realistic, efficient, and transferable
- Acts as a bridge between research exploration and later real-world implementation
- Helps ensure experiments are designed with practical constraints in mind, rather than remaining purely conceptual
- Contributes hands-on to model experimentation, architecture decisions, and technical direction within the applied ML/AI research team
- #LI-Hybrid
- #LI-IR2
- Pay Range: 55,300.00 - 65,000 EUR Annual - This posting is for a current vacancy
Benefits
Additional Information
Focus: Researching scalable AI/ML solutions, with particular emphasis on Small Language Models (SLMs), GenAI systems, and research approaches that can transfer effectively into real-world applications. Strong background in applied machine learning / AI research Deep hands-on experience with Python and modern ML / deep learning frameworks Strong understanding of model design, experimentation, and evaluation Experience working with GenAI systems and language models Strong interest in Small Language Models (SLMs), LLMs, and practical AI system design Ability to design research with real-world constraints in mind, including scalability, efficiency, and usability Strong communication skills and ability to engage with technical and non-technical stakeholders in English
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