1 день назад
Data / ML Automation Intern (Fintech)
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
Data / ML Automation Intern (Python/TypeScript, GCP): Building reliable data pipelines, reporting tools, and AI-assisted automations for operational teams with an accent on data engineering, analytics, and machine learning workflows. Focus on developing scalable ETL/ELT systems, integrating APIs, monitoring data quality, and improving the reliability of ML- and LLM-powered automation.
Location: Jakarta, Indonesia
Company
Payment infrastructure company building APIs, eCommerce integrations, disbursement, KYC, fraud-prevention, and other payment solutions across Southeast Asia.
What you will do
- Build and maintain data pipelines for extracting, transforming, validating, and loading data.
- Write SQL queries for analysis, reporting, and data-quality checks.
- Develop automation scripts and internal tools with Python and/or TypeScript.
- Work with GCP and BigQuery to manage and query datasets, and support workflow orchestration with Airflow or similar tools.
- Help develop, test, and monitor ML- and LLM-powered automation workflows and integrate internal and third-party APIs.
- Support dashboards, operational reporting, documentation, code reviews, debugging, and workflow reliability improvements.
Requirements
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Engineering, Information Systems, or a related field.
- Proficiency in Python and/or TypeScript.
- Basic SQL skills, including joins, aggregations, and filtering.
- Familiarity with data structures, APIs, Git, and software-development fundamentals.
- Interest in data engineering, machine learning, analytics, or automation, with the ability to work with imperfect data and learn unfamiliar systems.
- Clear English communication and collaboration with technical and non-technical stakeholders.
Nice to have
- Experience with GCP, BigQuery, dbt, Airflow, Databricks, Kafka, or ETL/ELT pipelines.
- Exposure to pandas, scikit-learn, PyTorch, TensorFlow, LLM APIs, prompt engineering, agent workflows, or evaluation pipelines.
- Familiarity with Docker, Kubernetes, CI/CD, AWS, Terraform, or ArgoCD.
- Experience building dashboards with Looker Studio, Metabase, Tableau, Power BI, or similar tools.
- Personal projects involving data pipelines, automation, analytics, or machine learning.
Culture & Benefits
- Six-month internship.
- Cross-functional work spanning data engineering, analytics, machine learning, and software development.
- Exposure to payment infrastructure processing millions of transactions monthly.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →