Machine Learning Engineer

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 job;

Growing, reading, and experimenting to always be up to speed with emerging technology.

What we’re looking for:

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.

Nice-to-Have:

Alongside the essential prerequisites, we're excited to find 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 and proficiency in infrastructure as code (e.g. Terraform, CloudFormation, Pulumi), a grasp of K8s and service mesh concepts, and previous exposure to data orchestration tools.