Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Стажировка дает практический опыт с AI-приложениями и современными инструментами в крупной энергетической компании, но сочетание аналитики и разработки может размывать повседневный фокус.
?Широкий круг задач
Современный стек
AI в энергетике
Обучение в компании
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Analyst Intern (AI) (Python/React/FastAPI): Building AI-powered reporting tools and interfaces for EHS and engineering users with an accent on LLM integration, ETL pipelines, data quality, and secure API development. Focus on monitoring deployed applications, supporting AI governance and compliance, and improving enterprise engineering workflows.
Location: Dubai, United Arab Emirates
Company
hirify.global develops energy technologies and systems that support decarbonization and reliable, sustainable energy generation across more than 90 countries.
What you will do
Design and build React front-end interfaces connected to Python and FastAPI back-end LLM services.
Support API integrations between AI models, engineering platforms, the data lake, and operational workflows.
Configure digital and ETL pipelines, participate in code reviews, and support data quality practices.
Maintain deployed AI applications by logging issues, triaging bugs, and improving features based on user feedback.
Monitor application performance using AWS CloudWatch or Azure Monitor and support anomaly resolution.
Create architecture notes, API references, user guides, demos, and onboarding materials.
Requirements
Recently completed a bachelor’s degree in Computer Science, Engineering, Data Analytics, or a related field.
Hands-on Python experience from coursework, personal projects, or open-source contributions.
Basic understanding of REST APIs and front-end development with React or a similar framework.
Familiarity with AWS or Azure and interest in application deployment, monitoring, and maintenance.
Basic understanding of ETL, data pipelines, data quality principles, and data visualization or reporting tools; Power BI is preferred.
Awareness of cybersecurity fundamentals, including authentication, authorization, and secure data handling.
Genuine interest in responsible and ethical AI, AI governance, and compliance in an enterprise engineering context.
Good communication skills and a proactive, eager-to-learn attitude.
Culture & Benefits
Work with a global team and contribute to innovative projects.
Continual learning through the Learn@Siemens-Energy platform.
Work within the Transformation of Industry division on industrial decarbonization and sustainable energy technologies.
Full-time student, intern, or apprentice position.
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