Machine Learning Engineer - Stageur

ING; Milano; Ibrido; EUR 70.000 - 90.000; Tempo pieno

Descrizione del lavoro

A leading international digital bank is searching for students to develop deep learning models as part of their thesis on mortgage portfolios. In this hybrid role, candidates will have hands-on experience working with machine learning libraries, data analyses, and model development within a supportive team environment. The ideal candidate is self-driven, possesses strong data handling skills, and is fluent in English, helping to shape the future of banking. Competitive salaries and benefits are included.

Servizi

Super flexible smart working

Competitive base salaries and performance based bonuses

International environment

Commitment to sustainability

Training development opportunities

Special day off for birthday

Free water & coffee at the office

Competenze

• 2+ years of experience with programming languages like Python.
• Familiarity with machine learning libraries and frameworks.
• Knowledge of Object-Oriented Programming and Git workflows.

Mansioni

• Develop a deep learning model for the mortgage portfolio.
• Train, deploy, and monitor machine learning models.
• Conduct ad hoc data analyses.

Conoscenze

Python programming

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

Data handling skills

Fluent English

Strong communication skills

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!

The benefits of joining ING

• 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.

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• Apply only via official ING platforms: ING usesWorkdayas its internal recruitment system. Applications should be submitted only via our official career site.
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