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Machine Learning Engineer – Internship at ESG-API

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  • Remote
  • parttime
  • National Minimum Wage
  • -
  • ABOUT US

    At ESG-API, our vision is "A Sustainable World". We are on a mission to become the world leader in sustainable investment APIs, model development and applications development. We believe in the power of a sustainable world for our current and future generations. We are democratising sustainable investing and analysis. Our why is a world where everyone & everywhere can invest sustainably. We use quantitative techniques to power global sustainable investing. Simply, we are creating quantitative solutions for sustainable investing.

     

    ABOUT THE ROLE
    We are looking for a university student or graduate with less than 1-year of work experience with a keen interest to gain useful work experience as a Machine Learning Engineer.

     

    Key Responsibilities
    •    Designing and developing machine learning models for sustainable investing
    •    Designing and developing machine learning models for portfolio construction
    •    Designing, developing and deploying production machine learning pipelines
    •    Reviewing and monitoring live productions models
    •    Writing blogs, articles and research papers on machine learning topics
    •    Researching and presenting new machine learning models and projects
    •    Produce machine learning jupyter notebooks

     

    Essential Qualifications / Experience
    •    Able to commit to working online every Saturday from 9 am – 5 pm UK time for 12 weeks
    •    Strong desire to gain valuable work experience as a machine learning engineer
    • Proficient/willing to learn how to use Python for machine learning development and deployment
    •    Proficient / Willingness to work on projects using agile concepts
    •    Working on a machine learning project portfolio
    •    Proficient / Willingness to learn Git for version control
    •    Doing or completed a quantitative related bachelor’s degree or certification 

     

     

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