Machine Learning Engineer - Large Language Models

Analityka rynku

Stack

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Opis

We are looking for a talented Machine Learning Engineer with interest in training large language models to join our innovative and fast-paced team. In this role, you will work on cutting-edge NLP projects and play a crucial part in developing and refining our productivity tools. If you are passionate about machine learning, have a strong background in natural language processing, and thrive in a collaborative and high-impact environment, we'd love to hear from you! Responsibilities: Fine tune large language models that can generate high-quality text to solve domain specific needs.Implement end-to-end machine learning pipelines, including data preprocessing, model training, evaluation, and deployment.Continuously research and stay up-to-date with recent advancements in NLP and large language models, applying novel techniques and methodologies to improve our models.Conduct experiments and benchmarking to assess the performance of various model architectures and optimize hyperparameters.Troubleshoot and resolve any issues arising during model training and deployment. Qualifications: Bachelors or Masters in Computer Science, Mathematics, or a related field with a focus on machine learning and NLP.Hands-on experience working with large language models like GPT, LLAMA, BERT, or Transformer-based architectures.Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.Strong knowledge of NLP techniques, including tokenization, language modeling, and embeddings.

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