Company Summary:

Situated between machine learning and data quality, our company develops advanced ML Data Intelligence platforms designed for unstructured data, such as NLP, Computer Vision, and Generative AI. Bolstered by a robust array of enterprise customers and over $23M in funding, we are leading the way in creating the 'ML DataOps' market, leveraging data as the backbone of machine learning.

Role Description

This unique opportunity calls for an early-career Software Engineer to play an instrumental part in designing, building, and expanding our product suite. We're in search of an extraordinary Senior Software Engineer with a focus on complex challenges at the intersection of Data and ML.

The ideal candidate should have:

• A startup mentality, leaning towards meaningful action with limited direction
• 3+ years of experience in developing scalable software
• In-depth knowledge in constructing high-volume backend services in Python
• Solid expertise with unit testing frameworks like PyTest
• Experience with Python frameworks such as Numpy, Pandas, Dask, and Vaex
• Knowledge of SQL databases like Postgres and MySQL
  

• Bonus: Familiarity with building machine learning models in PyTorch/TensorFlow/Keras, working with Docker and Kubernetes, application development on AWS, Google Cloud, and Microsoft Azure, and creating consumer-centric products with ML frameworks