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Software / Machine Learning Engineer

2 weeks, 6 days ago
Italy
Full-time
Mid Level
Machine Learning Engineer
Software Development
AWS Computer Vision Deep Learning Elixir Generative AI Hugging Face Machine Learning NumPy Pandas PostgreSQL Python PyTorch Rust TensorFlow
Apply Now
Prima

Prima

Prima is a pioneering insurance company at the forefront of revolutionizing the industry through innovation, technology, and data-driven strategies. With a focus on providing exceptional customer experiences and competitive pricing, Prima has successfu...

Insurance
501-1000
Founded 2014
$116M raised
View All Jobs 44

Description

  • Apply machine learning and advanced analytics to identify risks and opportunities in the claims management platform.
  • Analyze and interpret complex data throughout the claims management lifecycle.
  • Develop scalable, reliable, production-ready software and machine learning solutions.
  • Train and apply machine learning models to solve real-world claims problems.
  • Generate actionable insights that support company growth and long-term success.
  • Collaborate with cross-functional teams to turn data into operational intelligence and action.

Requirements

  • Strong software engineering ability, including writing clean, maintainable, production-ready code.
  • Strong quantitative, logical, and analytical skills.
  • Strong Python experience with Pandas, NumPy, PyTorch or TensorFlow, Hugging Face, and generative AI.
  • Proficiency with relational databases, particularly PostgreSQL.
  • Knowledge of machine learning approaches including classical models, deep learning, computer vision, and generative AI.
  • Ability to select and apply appropriate ML techniques for real-world problems.
  • Experience creating, manipulating, and analyzing large datasets (preferred).
  • Experience developing applications with Elixir or Rust (preferred).
  • Experience in cloud environments, preferably AWS (preferred).
  • International experience and English fluency (preferred).

Benefits

  • Flexible work from home, office, or hybrid arrangements.
  • Work remotely from anywhere for up to 30 days per year.
  • Learning resources, mentorship, and a personalized growth plan.
  • Private healthcare.
  • Gym discounts, wellbeing programs, and mental health support.

Interested in this position?

Apply directly on the company website

Apply Now

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