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    AI Engineer Intern - Irving, United States - SITA Switzerland Sarl

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    Description

    Overview:

    WELCOME TO SITA

    SITA is the leading specialist in air transport communications and information technology. We dont just connect the global aviation industry, we apply decades of experience and expertise to address almost every core business, operational, baggage, and passenger process in air transport. As an organization, we cover 95% of all international air travel destinations and work with over 2,800 air transport and government customers in every corner of the globe. Immerse yourself in the dynamic world of technology while embracing our collaborative, and inclusive culture.

    Ready to redefine air travel? The journey starts here, with you at SITA.

    ABOUT THE ROLE & TEAM:

    The Data Intelligence team develops and deploys data-driven and AI-powered solutions to optimize operations in the aviation industry, with a specific focus on reducing the sector's CO2 emissions. For example, SITA Opticlimb helps to save fuel for each climb by computing optimal climb speeds considering number of factors like air density, weight, etc.

    We are seeking a highly motivated AI Engineer Intern to join our Data Intelligence team. As an AI Expert Intern, you will have the opportunity to work closely with our AI Experts on cutting-edge projects, leveraging your skills and knowledge in AI development and optimization. This internship provides a valuable opportunity to gain hands-on experience in the field of AI and contribute to the success of our data intelligence solutions.

    WHAT YOU WILL DO:

  • Collaborate with AI Experts to develop and optimize AI models and algorithms for aviation operations
  • Assist in implementing and maintaining the AI pipeline and infrastructure for data processing and model training
  • Support AI Experts in conducting experiments and tests to evaluate the performance and accuracy of AI models.
  • Pre-process and analyze data using Python and relevant libraries (e.g., Pandas, NumPy) to prepare it for model training and evaluation
  • Contribute to the development of data pre-processing techniques, feature engineering approaches, and model evaluation methodologies
  • Document development processes, procedures, and findings
  • Stay up-to-date with the latest AI research and industry trends to contribute innovative ideas to the team
  • Qualifications:

    EXPERIENCE:

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Solid understanding of AI and machine learning concepts.
  • Proficiency in Python and experience with libraries such as Pandas, NumPy, and scikit-learn.
  • Knowledge of data pre-processing, feature engineering, and model evaluation techniques.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Passion for learning and staying up-to-date with AI advancements.
  • NICE-TO-HAVE:

  • Aeronautical background is a plus
  • WHAT WE OFFER:

    SITAs workplace is all about diversity, many different countries and cultures are represented in our workforce. We collaborate in our impressive offices, embracing a hybrid work format. As part of our global benefits, we offer:

    ???? Flex-week: Work from home up to 2 days/week (depending on your Team's needs).

    ? Flex-day: You may wish to flex your arrival time at the office, to beat the rush hours or you may want to leave the office earlier to pick up your kids from school or to go to your favorite game: We support you in being open about your needs and routine with you manager.

    ???? Flex-location: Benefit for 30 working days from anywhere around the world each year

    ???????? Competitive benefits according to the local market

    SITA is an Equal Opportunity Employer and values a diverse workforce. In support of our Employment Equity Program, women, aboriginal people, members of visible minorities, and/or persons with disabilities are encouraged to apply and self-identify in the application process



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