🚀 Our mission is to change the experience of being a homeowner by rebuilding the processes of home transactions
💻 Our core product is Machine learning models, used by our inhouse team
🌏 Our company HQ is in Copenhagen, but team members are located all over the world
🙌 We have an open and friendly work environment: every person helps shape our culture
🌱 It's important for us that every individual in the team experiences personal growth
Responsibilities
Get involved in the different parts of the Machine Learning life-cycle of our product.
Scrap web-data to feed our model and engineer new features to optimize our prediction.
Design the processing pipelines to format, clean and enrich our data-sets.
Design different ML/DL models for the different predictions challenges we have.
Test and evaluates our models using the adequate metrics.
Collaborate with the team to implement and deploy scalable solutions. We work as an agile team where everybody take responsibility for the different component of our data-platform and AI models.
The ideal candidate for us has:
Computer science background.
Experience with data science projects, end-to-end machine learning and deep learning.
Completed various projects related to Deep Learning Network, Time Series Analysis, Pricing prediction.
Strong Knowledge of a variety of machine learning techniques (clustering, regression, decision trees and etc) and their real-world advantages/drawbacks.
Proficient in Python, SQL (as statistical and ML package tools).
Experience with Google Cloud, Apache Airflow and MLFlow.
DevOp/DataOp experience appreciated (Linux, Github, Docker...).
This job comes with several perks and benefits
Enjoy a free catered lunch with your colleagues, every day.
Time is precious. Make it count. Morning person or night owl, this job is for you.
Get your caffeine fix to get you started and keep you going.
Peckish after lunch? We got your back with soft drinks, treats and fruit.
Easy access and treehugger friendly workplace.
Social gatherings and games; hang out with your colleagues.