Focus: Researching agentic AI capabilities and Small Language Models (SLMs), with emphasis on experimentation, modeling strategy, validation methods, and maturing approaches beyond proof of concept toward robust, reusable patterns.

Core Requirements:

• Strong background in applied machine learning / AI research
• Deep hands-on experience with GenAI systems and architectures
• Experience with Small Language Model (SLM) fine-tuning and adaptation
• Strong understanding of agentic AI concepts, including multi-step reasoning, tool use, orchestration, or workflow-based model behavior
• Strong grounding in classical machine learning as well as modern deep learning approaches
• Ability to design rigorous experiments and evaluate novel AI system behavior
• Strong communication skills and ability to engage with technical and non-technical stakeholders in English