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4 дня назад

Machine Learning Engineer Intern (Fintech)

1 500€
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
c1
Страна
Italy
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Machine Learning Engineer Intern (Fintech): Developing an interactive dashboard to compute the profitability and assigned risk of a finance product with an accent on machine learning, data analysis, and model lifecycle implementation. Focus on building data-driven tools, supporting model training and deployment, and integrating robust Python code with CI/CD and DevOps practices.

Location: Milan, Italy — hybrid

Compensation: €1,500/month

Company

hirify.global applies advanced analytics across banking functions including business, risk, retail, and corporate banking.

What you will do

  • Develop an interactive dashboard for computing the profitability and assigned risk of a finance product.
  • Build and maintain a codebase supporting the creation of machine learning models.
  • Train, deploy, and monitor machine learning models for business needs.
  • Conduct ad hoc data analyses and develop dashboards and tools that improve data accessibility.
  • Work across the lifecycle of analytics solutions, from initial design through implementation.

Requirements

  • At least 2 years of practical experience with Python or a similar programming language.
  • Knowledge of object-oriented programming and Git workflows.
  • Experience with CI/CD pipelines and DevOps practices.
  • Strong data handling skills.
  • Fluent written and spoken English.
  • Strong communication, collaboration, self-direction, and ability to perform under pressure.

Nice to have

  • Public projects on GitHub, Azure, or similar platforms.
  • Familiarity with machine learning libraries and frameworks such as scikit-learn.
  • Experience with credit decision models, business models such as churn or propensity, or clustering techniques.

Culture & Benefits

  • Hybrid work in Milan.
  • Opportunity for students to write a thesis on the finance-product dashboard topic.
  • Collaboration with stakeholders across multiple banking areas.
  • Work involving high ethical standards, honesty, and integrity.

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