Machine Learning Engineer

ING Group; Milano; Ibrido; EUR 50.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading international digital bank in Milan is seeking a Machine Learning Engineer to build and maintain production codebases for ML models. The ideal candidate will have 3+ years of experience in Python and machine learning frameworks, along with a Bachelor's or Master's degree in a relevant field. This role supports a hybrid working environment, empowering a data-driven organization with innovative tools.

Servizi

Super flexible smart working

Competitive base salaries and performance based bonuses

Diverse cultures & Innovative mindsets

International Environment

Commitment to sustainability

Training development opportunities

Birthday day off

Free water & coffee at the office

Competenze

• 3+ years of professional experience with Python.
• Strong proficiency with machine learning libraries.
• Experience with CI/CD pipelines and DevOps practices.

Mansioni

• Build and maintain robust production codebase for ML models.
• Train, deploy, and monitor ML models.
• Develop tools to enhance data accessibility.

Conoscenze

Python in production environments

machine learning libraries and frameworks

PySpark for large-scale data processing

Object-Oriented Programming principles

deploying and maintaining ML models

data handling and feature engineering

Formazione

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field

Strumenti

Git

Docker

Kubernetes

Descrizione del lavoro

Machine Learning Engineer

Our team applies advanced analytics—including machine learning, quantitative algorithms, and data mining techniques—to deliver business insights and solve complex problems across the organization. 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.

The Role

As a Machine Learning Engineer, you will be responsible for building and maintaining a robust, production codebase that supports the creation and implementation of ML models. You will train, deploy, and monitor machine learning models tailored to various business needs. Additionally, you will develop tools to enhance data accessibility and support a more data-driven organization.

Required Qualifications

• 3+ years of professional experience with Python in production environments
• Strong proficiency with machine learning libraries and frameworks (e.g., scikit-learn, pandas, numpy)
• Experience with PySpark for large-scale data processing
• Solid understanding of Object-Oriented Programming principles and Git workflows
• Proven experience deploying and maintaining ML models in production
• Strong data handling and feature engineering skills
• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field

Preferred Qualifications

• Active portfolio of public projects on GitHub/Azure or similar platforms
• Experience with CI/CD pipelines and DevOps practices (Docker, Kubernetes, MLOps tools)
• Experience in the financial services or banking sector
• Knowledge of model risk management and regulatory requirements

Duration: Permanent

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

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.