Research Engineer (Contract)

• Design, implement, and optimize information retrieval models and establish a strong retrieval-augmented generation (RAG) system.
• Enhance the user experience by improving LLM's reasoning capabilities and reducing the hallucinations
• Conduct research on state-of-the-art methods in natural language processing (NLP), machine learning (ML), and information retrieval (IR).
• Develop algorithms and techniques to improve the performance and scalability of RAG systems.
• Collaborate with cross-functional teams to integrate RAG solutions into existing products and services.
• Perform data collection, pre-processing, and analysis to support research and development activities.
• Evaluate and benchmark the performance of RAG models using large-scale datasets.
• Stay up-to-date with the latest advancements in AI, NLP, ML, and IR.

• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on NLP, ML, or IR.
• Strong programming skills in Python and familiarity with machine learning frameworks such as PyTorch.
• Solid understanding of deep learning architectures, including transformers, BERT, GPT, etc.
• Proven track record of research excellence, demonstrated through publications in relevant conferences and journals.
• Ability to work independently and as part of a collaborative team.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both written and verbal.

• Knowledge and hands-on experience on automatic speech recognition (ASR) is a big plus.
• Experience with retrieval-based models and techniques, including vector space models, BM25, or neural retrieval methods.
• Familiarity with knowledge bases, information extraction, and question answering systems.
• Background in software development and engineering best practices.

microTECH Global