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
Nice to Have:
-
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