Software / Machine Learning Engineer

Prisma
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote

Tech stack

Amazon Web Services (AWS)
Computer Vision
Big Data
Cloud Computing
Relational Databases
Python
PostgreSQL
Machine Learning
NumPy
TensorFlow
Software Engineering
PyTorch
Deep Learning
Software Application Programming
Generative AI
Pandas
HuggingFace
Production Code
Elixir

Job description

Since 2015, we've been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we've quickly become the number one online motor insurance provider. In fact, we're trusted by over 5 million drivers. And now we're expanding to help millions more drivers in the UK and Spain. To help fuel that growth, we need a Software Engineer- Machine Learning 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. Excited to make an impact? Here are the details The team mission is to exploit the power of machine learning to revolutionize the insurance claims process. To help fuel that growth, we need a Software Engineer to join our Claims Machine Learning team., * 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 the company's growth and long-term success through actionable insights.
  • Collaborate with cross-functional teams to transform data into intelligence and intelligence into action

Requirements

Do you have experience in TensorFlow?, * Software Engineer First: You're a strong software engineer at heart: you write clean, maintainable, and production-ready code. While you're comfortable handling data, generating insights, and training machine learning models, you approach these tasks with a software engineering mindset, prioritizing scalability, reliability, and performance.

  • Analytical Prowess: Strong quantitative, logical, and analytical skills are essential. At Prima, you'll tackle diverse and stimulating challenges that will put your skills to the test
  • Strong Python background with hands-on experience in Pandas, Numpy, PyTorch or Tensorflow, Hugging Face and GenAI.
  • Proficient with RDBMS ( Postgres )
  • Broad ML Knowledge: You have a solid grasp of various machine learning paradigms: from classical models to cutting-edge approaches like deep learning, computer vision, and generative AI. You know when and how to apply the right technique to solve real-world problems effectively., * Have international experience and are fluency in English
  • Know how to create, manipulate and analyze large datasets
  • Background in developing applications using Elixir/Rust.
  • Experience working in a Cloud-based environment ( AWS preferred ) is a plus

Benefits & conditions

Pulled from the full job description

  • Gym membership
  • Work from home

About the company

At Prisma, we are building the data layer for modern applications. If you are fascinated by the leading-edge architecture and technology used in today’s data-intensive, highly scalable software systems, with distributed graph data on a massive scale, but you want the energy, challenges, and freedom that come with working in a small startup, then a job at Prisma might be for you.

With funding from top-tier investors Amplify Partners and Kleiner Perkins, we are a small, distributed team working on making the advanced data infrastructure developed by large tech companies accessible to all application developers around the world. Our hard work is paying off, with adoption and implementation of Prisma by some of the most successful and interesting companies out there today, and the fun is just beginning!

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