🚀 Our mission is to change the experience of being a homeowner by rebuilding the processes of home transactions
💻 Our core product is a Machine learning system, used by our in-house 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
We will structure the work in different short term projects. We will pick a challenge of your interest together so you can use the resources from your education and experiences, to improve our system. After some months of collaboration, we could also discuss collaborating on a Master or Bachelor thesis.
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.
What we offer:
Flexible work hours (15-20h/week).
Collaborating with experienced data scientists that will coach you on how to work on DS projects in a production environment.
Possibility to collaborate on your thesis.
Facilities at our office at BloxHub in the center of Copenhagen .
This job comes with several perks and benefits