Machine Learning Engineer Offline

EXPERIENCE WITH TABULAR DATA OR TIME-SERIES IS MANDATORY

We're looking for a Machine Learning engineer who will help us shape our team, drive the company to the next level, and have the most direct influence on our success.

Your Tasks

- 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

Your Profile

- 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

Our Perks – More than just a job

Have an impact. With innovation and smart technology, we are changing the way organizations use and share data

Trust-based working. We don't punch the clock – organize your own schedule. We trust in what you do!

Improve yourself. You can have fun at work at the same time you learn and improve yourself. We only hire the best and make them even better.

Push boundaries. Everyone is equally important and works together on uncharted challenges alongside inspiring colleagues from all over the world.

Feel at home. Literally! We are remote work enthusiasts!

Feel it’s your own company. Check our stock options plan. We want to have you on board and be part of YData.

Want to write the history of data science and artificial intelligence with us? Just click on apply now. We're excited to hear from you!