[Customer Platforms] Senior Machine Learning Engineer

Stone is a Brazilian fintech company focused on transforming the payments industry by providing solutions for entrepreneurs in Brazil.
Machine Learning
Senior Software Engineer
Remote
1,000 - 5,000 Employees
5+ years of experience
AI · Finance

Description For [Customer Platforms] Senior Machine Learning Engineer

Stone Tech is seeking a Senior Machine Learning Engineer to join their Customer Platforms team. The role focuses on developing generative AI solutions for conversational products. As part of Stone, a leading Brazilian fintech company transforming the payments industry, you'll work in an agile environment with short validation cycles and constant experimentation. The position requires strong Python skills, experience with MLOps tools, and expertise in building and deploying ML models. The company offers a culture built on five pillars: Own It (autonomy), Live the Ride (learning from mistakes), No Bullshit (transparency), Team Play (collaboration), and The Reason (customer-first approach). The Customer Platforms division is crucial in providing the technological infrastructure that enables Stone's customer-centric approach, divided into Web, Messages, and LLMs tribes. This remote position comes with comprehensive benefits including health insurance, flexible hours, and professional development opportunities. The ideal candidate should be comfortable working remotely and have a strong background in both machine learning and software engineering practices.

Last updated 3 hours ago

Responsibilities For [Customer Platforms] Senior Machine Learning Engineer

  • Work on a generative AI platform enabling solutions for conversational products
  • Define, design, implement and evolve machine learning models and pipelines
  • Work in an agile environment with constant experimentation and short validation cycles

Requirements For [Customer Platforms] Senior Machine Learning Engineer

Python
  • Extensive experience in Python applied to ML solutions
  • Experience in developing tools for experimentation and model productization
  • Experience with MLOps tools like Databricks, Snowflake or Sagemaker
  • Strong software engineering practices
  • Knowledge of CI/CD deployment routines
  • Basic knowledge of AWS, GCP or Azure clouds
  • Experience in building APIs involving database communication
  • Ability to work remotely
  • Willingness to collaborate with a multidisciplinary team

Benefits For [Customer Platforms] Senior Machine Learning Engineer

Medical Insurance
Dental Insurance
Education Budget
  • Health and Dental Insurance
  • Digital Hospital Service (24/7 medical team)
  • Meal and Food Allowance
  • Remote Work Allowance + Initial Setup
  • Flexible Hours
  • Education Benefits
  • Gympass
  • Childcare Assistance
  • Profit Sharing
  • Life Insurance
  • Transportation Allowance (for in-person positions)

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