Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Defining model development methodologies and productionalizing ML Oracles that pilot microservices behavior with an accent on technological stack selection and best practices. Focus on developing tools, pipelines, microservices, and experimenting with emerging technologies to support the ML lifecycle.

Milan, Italy. Full flexibility – work from home, office, or hybrid mix. Work from anywhere up to 30 days per year.

Company

Leading online motor insurance provider using data and tech, trusted by over 5 million drivers in Italy and expanding to the UK and Spain.

What you will do

• Define model development methodologies and best practices across the full ML lifecycle, choosing the technological stack.
• Support productionalization and evolution of ML Oracles piloting microservices behavior.
• Develop essential tools like packages, microservices, and pipelines for the team.
• Continuously learn, read, and experiment with emerging technologies.

Requirements

• Robust programming background, especially in Python.
• Familiarity with ML model lifecycle, including production experience.
• Proficiency in TDD and BDD for quality, readable, maintainable code.
• Experience in software architecture with focus on Machine Learning, Microservices, and DDD.
• Exceptional command of English.

Nice to have

• Experience with data/artifact version control (DeltaLake, DVC, MLFlow).
• Cloud systems design/operation on AWS or Databricks.
• Familiarity with messaging platforms, IaC (Terraform, CloudFormation, Pulumi), K8s, service mesh, data orchestration.

Culture & Benefits

• Full work flexibility: remote, office, hybrid, plus work from anywhere up to 30 days/year.
• Learning resources, mentorship, tailored growth plans.
• Private healthcare, gym discounts, wellbeing and mental health support.