[Hiring] Machine Learning Engineer @Prima

Role Description

To help fuel that growth, we need a Machine Learning Engineer to join our Engineering Team. This team is the beating heart of Prima. You’ll be joining over 350 engineers across software development, infrastructure, operations, and security. Fueled by curiosity, experimentation, and collaboration, you’ll help deliver scalable, impactful solutions that shape the future of insurance.

What you will do:

• Defining the model development methodologies and best practices, following the whole life cycle with a central role in choosing the technological stack;
• Supporting the productionalization and evolution of the Oracles, entities that through machine learning pilot the behavior of Prima's microservices;
• Developing the tools (packages, microservices, pipelines...) that you deem fundamental for your and your team's job;
• Growing, reading, and experimenting to always be up to speed with emerging technology.

Qualifications

• A robust programming background, spotlighting your prowess in Python;
• A familiarity with the lifecycle of ML model development, including past experience in taking them to production;
• Proficiency in software development practices like TDD and BDD, ensuring our code is marked by quality, readability, and maintainability;
• A wealth of experience in software architecture, encompassing an understanding of common design patterns. Your focus on Machine Learning, Microservices, and DDD sets you apart;
• Exceptional command of the English language.

Requirements

• Experience in version control of data and artefacts (like DeltaLake, DVC, or MLFlow);
• Designing and operating cloud-based systems, preferably within AWS or Databricks;
• Familiarity with messaging platforms;
• Proficiency in infrastructure as code (e.g. Terraform, CloudFormation, Pulumi);
• A grasp of K8s and service mesh concepts;
• Previous exposure to data orchestration tools.

Benefits

• Enjoy full flexibility – work from home, the office, or a mix of both. Plus, work from anywhere for up to 30 days a year;
• Access to learning resources, mentorship, and a growth plan tailored to you;
• Enjoy private healthcare, gym discounts, wellbeing programs, and mental health support.