Machine Learning Engineer

milan - Italy

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Machine Learning Engineer

Our team applies advanced analyticsincluding machine learning quantitative algorithms and data mining techniquesto 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

Bachelors or Masters 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 peoples potential. We dont 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 cant 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

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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.
Check the senders email carefully: legitimate communication will always come from: @ and/or @
No payments or banking details will ever be someone asks for this information its a scam.

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Machine Learning Engineer Our team applies advanced analyticsincluding machine learning quantitative algorithms and data mining techniquesto deliver business insights and solve complex problems across the organization. We are actively involved throughout the entire lifecycle from initial design to f...