Remote ML Software Engineer – Claims AI & Scalable Systems

Helloprima; Milano; Ibrido; EUR 55.000 - 85.000; Tempo pieno

Vantaggi offerti da questo lavoro

Private healthcare

Gym discounts

Wellbeing programs

Mental health support

Work from home or office

Descrizione del lavoro

Prima is hiring a Software Engineer – Machine Learning to join our Claims ML team in Milan. You will leverage ML and data analytics to identify risks and opportunities in our claims management platform, delivering scalable, production-ready solutions.

Collaborate with cross-functional teams to turn data into intelligence and intelligence into action, with a software engineering mindset emphasizing reliability and performance. This is a full-time, remote-friendly role with flexible work options.

Competenze

• Strong Python background with hands-on experience in Pandas, Numpy, PyTorch or Tensorflow, Hugging Face and GenAI.
• Proficient with PostgreSQL.
• Analytical mindset capable of deriving actionable insights.

Mansioni

• Leverage Machine Learning and advanced data analytics to identify risks and opportunities in our claims management platform.
• Analyze and interpret complex data to support the claims management lifecycle.
• Contribute directly to growth and long-term success through actionable insights.
• Collaborate with cross-functional teams to transform data into intelligence and intelligence into action.

Conoscenze

Python

Pandas

NumPy

PyTorch

TensorFlow

Hugging Face

GenAI

PostgreSQL

ML & Data Analytics

Software Engineering

Strumenti

AWS

Elixir

Rust

Descrizione del lavoro

Prima is hiring a Software Engineer – Machine Learning to join our Claims ML team in Milan. You will leverage ML and data analytics to identify risks and opportunities in our claims management platform, delivering scalable, production-ready solutions.

Collaborate with cross-functional teams to turn data into intelligence and intelligence into action, with a software engineering mindset emphasizing reliability and performance. This is a full-time, remote-friendly role with flexible work options.