Production ML Engineer - Python | Hybrid Milan

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

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.