обновлено 10 дней назад
AI Engineering Intern
1 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineering Intern (Python/SQL): Designing foundational AI systems and generating reliable training data with an accent on data analysis, database structures, and collaboration across engineering and business teams. Focus on building AI systems from the ground up, working with large language model tools, and writing accurate, efficient SQL queries.
Location: Remote in Peru
Salary: $1,000 USD monthly gross
Company
is a fintech and retail technology company providing interest-free installment payment solutions and shopping experiences for consumers and merchants.
What you will do
- Design foundational AI systems from the ground up.
- Generate reliable and accurate training data for AI systems.
- Collaborate with engineers, data analysts, and business users to build effective systems.
- Write accurate and efficient SQL queries.
Requirements
- Proficiency in Python and SQL.
- Understanding of data analysis and database structures.
- Current enrollment in a postsecondary institution in MIS, business analytics, data analytics, computer science, or a related field.
- Required experience with Claude or equivalent large language model tools, including using AI for productivity, research, and communication.
Culture & Benefits
- Fast-paced environment with opportunities for career advancement.
- Culture focused on high standards, experimentation, trust, constructive disagreement, and delivering results.
- Technology environment includes Python, Golang, TypeScript, React, React Native, MySQL, PostgreSQL, Elasticsearch, AWS, Kubernetes, Git, and GitLab CI/CD.
- Developer-driven testing with automated unit, integration, and end-to-end tests.
Hiring process
- Application review followed by a 30–40-minute Wonderlic test.
- SQL and Python questions followed by recruiter and engineering interviews.
- Final interview with engineering leadership before an offer decision.
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