Machine Learning Engineer - Stageur

ING Group; Milano; Ibrido; EUR 70.000 - 90.000; Part-time

Descrizione del lavoro

A leading international bank in Milan seeks students interested in a thesis project focused on developing deep learning models for their mortgage portfolio. The role involves building and maintaining machine learning models and conducting data analyses. Ideal candidates should have experience in Python, machine learning libraries, and demonstrate strong communication skills. This position offers a flexible, hybrid working environment with various perks including competitive salaries and a commitment to well-being.

Servizi

Super flexible smart working

Competitive salaries and performance-based bonuses

Diversity and innovative work culture

Training development opportunities

Special day off for birthdays

Free water and coffee at the office

Competenze

• Practical experience with programming languages such as Python.
• Familiarity with machine learning frameworks.
• Experience in data analysis and developing ML models.

Mansioni

• Develop a deep learning model for the mortgage portfolio.
• Evaluate and compare different modeling approaches.
• Conduct ad hoc data analyses as required.

Conoscenze

Programming in Python

Machine learning libraries (e.g. scikit-learn)

Solid data handling skills

Fluent in English

Strong communication skills

Formazione

Bachelor's degree (or equivalent)

Strumenti

Keras

TensorFlow

Git

Descrizione del lavoro

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 a deep learning model for the mortgage portfolio. Specifically, they will evaluate different approaches and compare them with the model currently in production.

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
• Familiarity with machine learning libraries and frameworks (e.g. scikit-learn...)
• Knowledge of Object-Oriented Programming and Git workflows

Nice to Have

• Personal public projects on GitHub/Azure or similar
• Experience with Keras/TensorFlow for deep learning models.
• 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

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)

About ING

ING offers many opportunities to build a diverse and rewarding career. You will be joining an international innovative digital bank, the first in Italy to adopt a fully flexible smart working model, and you will be working in a stimulating environment where you can grow both as an individual and as a professional. Our purpose - empowering people to stay a step ahead in life and in business - represents our belief in people’s potential. We don’t judge, coach or to tell people how to live their lives. We empower people and businesses to realize their own vision for a better future. #doyourthing is our brand direction with us each and every day. It is how we articulate our purpose and our promise to make banking frictionless to the world. ‘do your thing’ is about people being free to live the life they want to live, knowing that they will make their world a little better for it. Do you think you are "a step ahead"? Apply now!

Benefits

In addition to being a part of a great team, working in a fun and innovative environment, we offer:

• Super flexible smart working
• Competitive base salaries and performance based bonuses
• Diverse cultures & Innovative mindsets
• International Environment
• Commitment to sustainability
• Lots of training development opportunities to help you grow
• Lots of moments dedicated to physical and mental well-being
• A special day off when it is your birthday: we call it #doyourbirthday!
• And of course we can’t forget: free water & coffee at the office!

Our Commitment

Diversity is a fundamental element of our corporate culture, and we are fully committed to creating a safe and inclusive environment, based on mutual respect and the value of diversity, offering equal job opportunities to all qualified candidates.

Job Application Safety Reminder

We’re seeing an increase in fraudulent job offers. To protect yourself, please follow these key guidelines when applying for roles at ING:

• Apply only via official ING platforms: ING uses Workday as its internal recruitment system. Applications should be submitted only via our official career site.
• Check the sender’s email carefully: legitimate communication will always come from: @ing.com and/or @myworkday.com
• No payments or banking details will ever be requested. If someone asks for this information, it’s a scam.

If you suspect suspicious activity, report it immediately. Your safety matters to us.