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Senior Machine Learning Engineer II

2 meses atrás


Rio de Janeiro, Rio de Janeiro, Brasil Carta, Inc. Tempo inteiro
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Carta, Inc. As a key member of our Machine Learning team, you will play a critical role in developing and deploying cutting-edge machine learning models to power our data products and automation capabilities.

Key Responsibilities
  • Partner with domain experts to analyze and explore our proprietary document repository and data set
  • Develop machine learning models to power new financial products and extract trends from performance of existing products
  • Build and deploy containerized prediction services and integrate them with our data pipelines
  • Collaborate with product managers, engineers, designers, and business teams to incorporate ML-generated estimates and benchmarks into products and user-flows
  • Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of machine learning
The Team You'll Work With

Our Machine Learning team is dedicated to developing data products and automation capabilities that drive revenue growth and operational efficiency for the company. We work closely with Carta's core business units and product teams to deliver impactful solutions.

About You

We are looking for a highly skilled and experienced Machine Learning Engineer with a strong foundation in statistics and machine learning. You should have proficiency in SQL and Python, as well as an analytical mindset and a bias towards simplicity. Experience with large language models and their applications in document intelligence, information extraction, and text classification tasks is highly desirable.

We value a collaborative attitude, strong written and verbal communication skills, and a helpful personality. If you are passionate about machine learning and data science, and are excited about the opportunity to work with a world-class team, we encourage you to apply.