Research Engineer
2 months ago
Key Responsibilities:
- Collaborate with cross-functional teams, including product managers, AI researchers, and software engineers, to scale and deliver AI products effectively.
- Develop algorithms for a variety of applications, involving knowledge-based retrieval, multi-modality, multi-agent collaboration, and prompt engineering.
- Build APIs and other interfaces to integrate LLM functionalities into client-facing applications.
- Explore technologies related to LLMOps/MLOps, such as data preprocessing, model training and fine-tuning, model inferencing, evaluation, and alignment.
- Stay up-to-date with the latest advancements in AI/ML to continuously improve AI solutions.
Job Requirements:
- Bachelor's or Master's degree in Machine Learning, Computer Science, or a related field.
- 1-2 years of hands-on experience with LLM and Generative AI solutions.
- Strong coding skills in software development using LangChain and Restful API.
- Knowledge in LLM development and fine-tuning with PyTorch and Hugging Face.
- Familiar with cloud services such as Azure and AWS.
- Preference for candidates with a background in digital twins or cooling systems.
- Excellent communication and problem-solving skills.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
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