Business Analytics AI Co-op with Drexel University
Контакты
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
aic#pythonsqlcloudllmdata modelingmlopsnlp
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$51к$67кмедиана$86к
49 в выборке
На СНГ рынке: $1.1к/мес ($1к - $1.2к)
78
Хорошая вакансия
развернуть
Это понятная стажировка в сфере AI с наставничеством в известной торговой компании, но без данных о зарплате сложно оценить её финансовую привлекательность.
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Зарплата не указанаСовременный стекНаставничествоИзвестная компания
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Business Analytics AI Co-op with Drexel University (AI/NLP/LLMs): Developing and evaluating AI solutions for real-world, data-driven business scenarios with an accent on large language models, AI product thinking, and measurable business value. Focus on assessing model quality, reliability, and risk while applying programming, cloud, MLOps, and data modeling skills.
Location: Bala Cynwyd (Philadelphia Area), Pennsylvania, United States
Company
hirify.global is a trading and financial services firm offering a hands-on AI co-op focused on technology, data, and business impact.
What you will do
Apply academic knowledge to real-world business scenarios and high-impact projects.
Work with large language models in data-driven environments.
Select impactful AI use cases and evaluate their business value.
Assess model quality, reliability, and risk using appropriate evaluation methods.
Collaborate with experienced technologists and business analysts under mentorship.
Requirements
Currently pursuing a degree in Computer Science, Business Analytics, or a related field.
Strong programming skills in Python, SQL, C#, or similar languages.
Experience with NLP or large language models such as OpenAI or Claude.
Hands-on experience with AWS, Azure, GCP, or another cloud platform.
Familiarity with MLOps practices and data modeling.
Curiosity, collaboration, and willingness to learn in a fast-paced environment.
Nice to have
Interest in the financial services industry.
Culture & Benefits
Non-hierarchical, casual, and collaborative working environment.
Co-op classes supporting business knowledge and professional development.
Fully stocked kitchens with breakfast, lunch, snacks, and beverages.
On-site fitness facility, wellness center, and practical services including a mailroom, barber, dry cleaning, and car maintenance.
Discounts, social events, and opportunities to participate in community initiatives.
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