Production ML Engineer — Python, MLOps (Hybrid Milan)

ING Italia; Milano; Ibrido; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A leading international digital bank in Milan is seeking a Machine Learning Engineer responsible for building and maintaining production ML models, training and monitoring them, and developing tools to support data-driven decisions. The ideal candidate has 3+ years of experience in Python, strong skills in ML libraries, and a relevant degree. The role offers a hybrid work model and various benefits, including training opportunities and a unique birthday leave.

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

Physical and mental well-being moments

Special day off for your birthday

Free water & coffee at the office

Competenze

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

Mansioni

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

Conoscenze

Python

scikit-learn

pandas

numpy

Object-Oriented Programming

Git

data handling

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

A leading international digital bank in Milan is seeking a Machine Learning Engineer responsible for building and maintaining production ML models, training and monitoring them, and developing tools to support data-driven decisions. The ideal candidate has 3+ years of experience in Python, strong skills in ML libraries, and a relevant degree. The role offers a hybrid work model and various benefits, including training opportunities and a unique birthday leave.