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    LLM Data Scientist - New York, United States - Hays CPA LLC

    Hays CPA LLC
    Hays CPA LLC New York, United States

    4 weeks ago

    Default job background
    Description
    Large Language Model, Data Scientist - Santa Clara, CA (Hybrid) - $60-100/hr Experience Dependent - 6m Rolling Contract (long term)


    Job Summary:


    We are looking for 5 mid-level (about 5 years of experience) professionals who will apply data mining & statistical analysis techniques like hypothesis testing, segmentation and modelling to analyse large volume data in order to drive business optimization & enhance product development, marketing techniques and business strategies.

    You will bring expertise and hands-on experience with ML pipelines, processes and design patterns.

    The role is a partner to ML Ops, completely focused on developing Models and is in the process of creating and maintaining the LLM (Large Language Model).


    Responsibilities:


    Proficient in utilizing Python libraries including Pandas, Scikit-learn, NumPy, SciPy, Matplotlib, NLTK, TensorFlow, PyTorch and Keras for data manipulation, statistical analysis and machine learning.

    Fine-tuning of LLM.

    Skills:
    Hyper-parameter tuning, accuracy checking of models.
    2 years of experience using Azure and Azure Machine Learning Studio. Azure ML Studio is preferred but strong Python skills would trump this.

    Expertise in various machine learning techniques, including but not limited to Natural Language Processing, Deep Learning, Transformer, Topic Modeling, Text Classification, Regression Analysis, Clustering, and Feature Engineering.

    Data from primary or secondary data sources, transformation & preprocessing of structured and unstructured datasets and generate business insights relevant to Core42 business goals utilizing scalable modern tools and techniques.

    Complex data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.


    Qualifications:
    Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering or related field
    3+ years experience in executing complex research projects.
    Atleast 3 years of experience in using data science to conduct hypothesis-driven research, preferably for AI or in the analytics industry

    Why Hays?

    You will be working with a professional recruiter who has intimate knowledge of the industry and market trends.

    Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers.

    You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it.

    Nervous about an upcoming interview? Unsure how to write a new resume?


    Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.

    Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees.

    We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law.

    One of Hays' guiding principles is 'do the right thing'. We also believe that actions speak louder than words.

    In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles.

    If you have any questions about Hays or any of our processes, please contact us.


    In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company.

    Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text

    Drug testing may be required; please contact a recruiter for more information.
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