Expert Machine Learning Engineer
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As a leading innovator in artificial intelligence, we are seeking a skilled Machine Learning Expert to spearhead the development of cutting-edge AI models and algorithms. The ideal candidate will possess a strong foundation in machine learning, computer science, and data analysis.
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About the Role
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The successful applicant will be responsible for driving the creation of robust machine learning pipelines, collaborating with cross-functional teams to translate research into effective product features, and fine-tuning open-source LLMs using techniques like PEFT, LoRA, and QLoRA to build proprietary AI models.
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Key Responsibilities
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* Develop and maintain robust machine learning pipelines for model training, evaluation, and deployment.
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* Fine-tune open-source LLMs using techniques like PEFT, LoRA, and QLoRA to build proprietary AI models.
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* Contribute to the design and implementation of personalisation and recommendation engines for tailored support.
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* Stay current with the latest advancements in AI and LLM research and apply new techniques to improve our systems.
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Requirements
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A PhD or Postdoctoral experience in Machine Learning, AI, Computer Science, or a closely related field is required. Additionally, the candidate should have a deep understanding of Transformer architectures, attention mechanisms, and training dynamics, as well as solid experience with deep learning frameworks such as PyTorch or TensorFlow.
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Bonus
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Publishing research findings at conferences or in academic journals where appropriate is a desirable skill. A profound passion for applying AI to high-impact domains like mental health and well-being is also highly valued.
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