LLM Engineer Singapore Non-Remote

4 days ago

Singapore BetterData Pte Ltd Full time

We are seeking a proactive Large Language Model (LLM) Engineer to lead the development of text generation systems. The ideal candidate will possess a deep understanding of deep learning and advanced NLP techniques.

Key Responsibilities:

  • Architect and fine-tune large language models to generate synthetic text grounded to the statistics of a set of tabular data.
  • Collaborate with cross-functional teams, including AI researchers and engineers, to integrate LLM solutions into existing synthetic data generation pipelines.
  • Stay updated on the latest advancements in LLMs, ensuring our solutions remain at the forefront of technology.
  • Implement prompt engineering strategies to enhance the quality and relevance of generated text.
  • Be familiar with finetuning open weights model like Qwen-2, Llama-3, Mistral for Instruction finetuning and DPO.
  • Be familiar with training frameworks like TRL, Unsloth, Hugging face ecosystem etc.
  • Evaluate and optimize model performance.
  • Develop and maintain comprehensive documentation for model architectures, training recipes and deployment procedures.

Essential Skills and Qualifications:

High Priority:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Proven experience in developing and deploying large language models, with a focus on text generation.
  • Strong understanding of LLM and deep learning techniques, such as Prompt Engineering, Fine-Tuning, RAG, LoRA, etc.
  • Strong proficiency in programming languages including Python and deep learning frameworks like PyTorch and Tensorflow.
  • Familiarity with prompt engineering techniques and their application in enhancing LLM outputs.
  • Excellent problem-solving skills and the ability to work collaboratively in a fast-paced startup environment.
  • Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Quick learner, able to quickly learn and follow new advancements in industry and academia and evaluate and

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