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Dinan

    Computer (M/L) Engineer - McLean, United States - Twinn Intelligence Group

    Twinn Intelligence Group
    Twinn Intelligence Group McLean, United States

    2 weeks ago

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    Description
    Twinn is seeking a Machine Learning engineer with a passion for Artificial Intelligence and latest technologies in computer science. Can you demonstrate your experience and background knowledge below.


    REQUIRED SKILLS

    TS/SCI with TOP POLY


    • Demonstrated experience tuning neural networks, such as LLMs, on custom data sets and applying results to specific use cases.
    • Demonstrated professional or academic experience developing models and ensembles in the AI/ML space, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
    • Demonstrated professional or academic experience using Python or R.
    • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
    • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
    • Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
    • Demonstrated experience leveraging GPUs for accelerated computing.

    HIGHLY DESIRED SKILLS

    • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
    • Demonstrated experience with cloud computing development and architecture.
    • Demonstrated experience with front-end web development frameworks such as Flask.
    • Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (SciKit Learn-) or deep learning models.
    • Demonstrated experience developing applications for semantic search.
    • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.
    • Demonstrated academic or professional experience communicating methodological choices and model results.
    • Demonstrated experience with verification and validation test benches.
    • Demonstrated experience with Explainable AI (XAI) techniques.
    • Demonstrated experience with ONNX (Open Neural Net Exchange).


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