Machine Learning Engineer

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

Descrizione del lavoro

A leading digital bank in Milan is looking for a Machine Learning Engineer to build and maintain production codebases for machine learning models. This role involves training, deploying, and monitoring models, along with developing data accessibility tools. The ideal candidate has over 3 years of experience with Python, strong skills in machine learning libraries, and a passion for data-driven solutions. Join a diverse team in an innovative environment that supports your growth and well-being.

Servizi

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

Special day off on your birthday

Free water & coffee at the office

Competenze

• 3+ years of professional experience with Python in production environments.
• Experience deploying and maintaining ML models in production.
• Strong proficiency with machine learning libraries and frameworks.

Mansioni

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

Conoscenze

Python

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

PySpark

Object-Oriented Programming principles

Git workflows

Data handling and feature engineering

Formazione

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

Strumenti

Docker

Kubernetes

MLOps tools

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

• 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 usesWorkdayas 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.