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Markham

    Intern Engineer- Data Science - Markham, Canada - Huawei Technologies Canada Co., Ltd.

    Huawei Technologies Canada Co., Ltd.
    Huawei Technologies Canada Co., Ltd. Markham, Canada

    1 week ago

    Huawei Technologies Canada Co., Ltd. background
    InternshipSHIP
    Description

    Our team has an immediate Internship opening for Data Science
    Responsibilities:

    • Research & Build (and/or Prototype) Gen AI model(s) using LLMs
    • Design, develop and fine-tune scalable LLMs (Large Language Model)
    • Collaborate with UX designer and front-end developer to incorporate UI design to the Gen-AI platform
    • Collaborate with platform software engineers for integrating Gen-AI model into existing solution
    • Conduct technical research and present to the team




    What you'll bring to the team:

    • Strong background in mathematics and statistics.
    • A strong foundation in algorithms, data structure, and object-oriented-programming along with proficiency in Python, R, and Java.
    • Experience in using ML algorithms (i.e., supervised, unsupervised, and Reinforcement Learning) and exploratory data analysis (EDA) tool and libraries including Numpy, Pandas, Matplotlib, Seaborn, and Scikit-learn.
    • Solid knowledge of Artificial neural networks like CNN, RNN, LSTM, and GRU, along with expertise in DL frameworks such as PyTorch, TensorFlow.
    • Deep understanding of various NLP tasks and concepts in both NLU (e.g, text/token classification) and NLG (e.g., text generation) domains as well as hands-on experience with NLP libraries like SpaCy, and NLTK.
    • Theoretical knowledge of advanced NLP concepts including transformers, pre-training with self-supervised techniques, and transfer learning, along with experience in fine-tuning Auto-encoder, Autoregressive and Seq2Seq Language Models from Hugging Face.
    • Familiarity with Generative AI concepts and tools including (Mutlimodal) Large Language Models, Retrieval Augmented Generation, Vector databases and Langchain.
    • Prior internship expeirnece in AI/ML development
    • PHD students/graduates is an asset
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