Machine Learning Engineer Intern
Milan, Italy
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
High ethical standards, honesty, integrity. Location: Milan (hybrid) Compensation: 1500€/month
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingBuild and maintain a codebase that supports ML model creation
Train, deploy and monitor machine learning models for business needs
Develop an interactive dashboard for product profitability and risk
Conduct ad hoc data analyses
From the employer’s posting
Building and maintaining a robust codebase that supports the creation of ML models
Training, deploying, and monitoring machine learning models tailored to various business needs.
The employee will focus on developing an interactive dashboard for computing the profitability and risk assigned of a finance product.
Conducting ad hoc data analyses
What you’ll bring
All qualificationsCore experience
- Knowledge of object-oriented programming and Git workflows
- Experience with CI/CD pipelines and DevOps practices
- Solid data handling skills
- Fluent written and spoken English
Qualification wording
Knowledge of Object-Oriented Programming and Git workflows
Experience with CI/CD pipelines and DevOps practices
Demonstrated solid data handling skills.
Fluent written and spoken English
Tools in this posting
- Python
- Azure
- scikit-learn
Source — Tool mentions in context
Experiences: - Practical experience (at least 2+ years) with programming language such as Python - Knowledge of Object-Oriented Programming and Git workflows
Nice to Have: - Personal public projects on GitHub/Azure or similar - Familiarity with machine learning libraries and frameworks (e.g. scikit-learn...)
- Personal public projects on GitHub/Azure or similar - Familiarity with machine learning libraries and frameworks (e.g. scikit-learn...) - Experience in at least one of the following:- Credit Decision Models
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 2 days ago
- Recorded sightings
- 12
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on careers.ing.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
Job Description:
The team applies advanced analytics—including machine learning, quantitative algorithms, and data mining techniques— to obtain business insights and solve problems. We are actively involved throughout the entire lifecycle, from initial design to final implementation. Our stakeholders span all areas of the bank, including business, risk, retail, and corporate banking.
Our scope of work includes:
· Building and maintaining a robust codebase that supports the creation of ML models
· Training, deploying, and monitoring machine learning models tailored to various business needs.
· Conducting ad hoc data analyses
· Developing dashboards and tools to enhance data accessibility and support a more data-driven organization.
The employee will focus on developing an interactive dashboard for computing the profitability and risk assigned of a finance product.
For this purpose, we are looking for students interested in writing their thesis on this topic.
Experiences:
- Practical experience (at least 2+ years) with programming language such as Python
- Knowledge of Object-Oriented Programming and Git workflows
- Experience with CI/CD pipelines and DevOps practices
Skills:
- Demonstrated solid data handling skills.
- Fluent written and spoken English
- Strong verbal and written communication skills
Nice to Have:
- Personal public projects on GitHub/Azure or similar
- Familiarity with machine learning libraries and frameworks (e.g. scikit-learn...)
- Experience in at least one of the following:
- Credit Decision Models
- Business Models (e.g., Churn, Propensity)
- Clustering techniques
Personal Characteristics:
- Self-driven with the ability to figure out solutions by him or herself
- Ability to work collaboratively in a team environment.
- Must possess an energetic, self-motivated work ethic.
- Effectively communicate with many levels.
- Proven to perform under pressure.
- High ethical standards, honesty, integrity.
Location: Milan (hybrid)
Compensation: 1500€/month
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Milan, Italy
- High ethical standards, honesty, integrity. Location: Milan (hybrid) Compensation: 1500€/month
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.