ML Engineer (offline) $4000-5500

Time-series and tabular data experience is required

Responsibilities

- You'll be working with tabular and time-series data
- You will be part of a self-organized, cross-functional team while working on defining metrics, reports and helping to improve current models functionalities at scale
- Since our team is still growing, we need pragmatic scientists
- You take responsibility for the whole product your team delivers
- You are curious and figure out how things work and how they should work for your product
- You bring your core expertise, but are open to getting your hands dirty with data architecture and data engineering
- You have a problem-solving attitude

Requirements

- Machine Learning models knowledge and statistics
- Deep Learning knowledge is nice to have, but not required.
- Experience while working with Python
- Interested in working together with the Founders
- Passionate about learning new tools and keeping yourself up-to-date
- Willingness to communicate and share your knowledge with other team members
- Willingness to work in agile processes
- Fluent in English

About Iterative

At Iterative, we build DVC, CML, and other developer tools for machine learning. We're a well-funded, remote-first team on a mission to solve the complexity of managing datasets, ML infrastructure, ML models lifecycle management.

Company website:
https://iterative.ai/