Engineer - AI/ML

Markham, Ontario, Canada

Huawei Technologies Canada Co., Ltd.

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.

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Our team has an immediate 12-month contract opening for an Engineer.

Responsibilities:

  • Development of next-gen PaaS platform, including PaaS Middleware, Application Platform and Application Integration Services.
  • Collaborate with PaaS Engineers for integrating advanced AI/ML models (e.g., LLMs) into existing solutions.
  • Analyze, investigate, and implement (Generative) AI solutions for Cloud Service features and technologies.
  • Conduct technical research, and assist in POCs development and deliveries.

Requirements

What you’ll bring to the team:

  • 2+ years of Data Science and Machine Learning development experience.
  • A strong foundation in algorithms, data structure, and object-oriented-programming along with proficiency in Python, R, Java and SQL.
  • Experience in using ML algorithms (i.e., supervised, unsupervised, and reinforcement learning) and exploratory data analysis (EDA) tools 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 Deep Learning frameworks such as PyTorch and TensorFlow.
  • Familiarity with NLP and Generative AI concepts and tools including Transformers, (Mutlimodal) Large Language Models, Vector databases.
  • Excellent organization skills, attention to detail, and ability to multi-task under considerable pressure and changing priorities.
  • Strong interpersonal and team communications skills.
  • BS degree in Computer Science or equivalent; advanced degree is an asset.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  10  2  0

Tags: Computer Science Data analysis Deep Learning EDA Generative AI Java LLMs LSTM Machine Learning Matplotlib ML models NLP NumPy Pandas Python PyTorch R Reinforcement Learning Research RNN Scikit-learn Seaborn SQL TensorFlow Transformers

Region: North America
Country: Canada

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