For this role, you need to be a guru in:
the mathematical statistics,
be able to express thoughts, present ideas, have a constructive dialogue,
be able to exist in a fast-paced environment,
have a high level of collaboration and proactivity — we are a startup,
have conversational English (communication on ordinary and technical topics).
Our technology stack and requirements:
MySQL и MongoDB.
If you haven’t worked with something or worked with analogs (for example, TensorFlow and Keras instead of PyTorch), do not hesitate to apply for a job.
The tasks we solve relate to NLP, computer vision, clustering, classification, deep learning as well:
Daily collection and analysis of data (crawling and parsing) from several thousand sources,
Anomalies during the collection and primary processing of data, type determination (apartment or house)
Identify the characteristics of the house from unstructured text,
Search for a real estate duplicates with different input data (prices, area, type, pictures, etc.),
Property condition (new, old),
Image classification (kitchen, bedroom, bathroom, pool),
Market analysis algorithm (market analytics),
Models for real estate valuation and selection of analogs,
Building and optimizing an investment portfolio.
This vacancy implies remote work (for the period of quarantine), with the subsequent opportunity to work in an office in Lisbon or Kharkov.
What will need to be done is to develop ongoing projects (to create new features, code refactoring) and improve data processes (ETL).
We are open to suggestions — to processes and approaches in development and the team as a whole, infrastructure, tools.
CASAFARI is young but growing fast, which means you’ll get to help shape our future and revolutionize the real estate industry.
We’re looking for a passionate, proactive and pragmatic Machine Learning Engineer to join our team of 14+ nationalities. You’ll grow with us as we strive to fulfill our mission and vision: to bring transparency to the real estate market with the cleanest and most complete real estate database in the world.
Our end products are a metasearch like Trivago or Skyscanner, a daily market data feed like Bloomberg Terminal, and we are currently building property market analytics with the most complete database updated in real time.