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    Machine Learning Engineer - New York, United States - Solere

    Solere
    Solere New York, United States

    6 days ago

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    Description

    Job Description

    Job Description

    Machine Learning Engineer | TensorFlow, Deep Learning, NLP, ML, AI, PyTorch, Python

    Location: New York, NY or Nationwide USA(Remote)

    Pay: $165k-$225k + Equity + Benefits + Bonuses & more

    Skills: TensorFlow, Deep Learning, NLP, ML, AI, PyTorch, Python

    Important Note: This role is only suitable for candidates based in New York, NY or for candidates in Nationwide in USA.

    About the job:

    Solere is looking to hire a Machine Learning Engineer for one of our clients specializing in Data/AI . Their platform is supporting businesses in different sectors with the tools and knowledge to make critical business decisions faster.

    We are looking for a Senior Machine Learning Engineer to dive into a fast-growing startup developing models that improve data processing pipeline and our client deliver new features to the market with unmatched speed and accuracy.

    Responsibilities:

    • NLP Algorithm Development
    • Model Training and Optimization
    • Data Pre-processing and Feature Engineering
    • Entity Resolution and Disambiguation
    • Collaboration with Cross-functional Teams
    • Research and Innovation
    • Code Review and Mentorship

    you must have:

    • Minimum of 4+ years of experience in machine learning, with a focus on NLP.
    • Proven experience in information extraction, disambiguation and resolution.
    • Solid skills in Python and other (PyTorch, TensorFlow, scikit-learn).
    • Experience with deep learning architectures

    Nice to have skills:

    • Experience in training and deploying large language models
    • Understanding of cloud computing platforms.
    • Familiarity with modern ML Ops tools (Weights, Modal, Sagemaker, and Modal.)

    Important note: Solere is acting as a recruitment agency to this role. By applying to this role here you agree for Solere to share your profile with suitable jobs roles based on your skills.

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