Realiste is emerging global prop-tech company with headquarters in Dubai. Here at Realiste we have a mission of creating a digital online platform that will allow people from around the world to find and invest in real estate market. We want our clients to have convenient and transparent tools to navigate broad market of available properties in 100s of cities, find best hidden gems in places they might have limited knowledge of and be confident it is a good deal that fit their investment strategy.
We are creating first AI in real estate market, our company is currently valued at more than US$100 millions already and we are preparing for an investment round. Global real estate market is valued at tens of trillions dollars and we are about to disrupt it and lead the competition, you can be part of this future! You will be working alongside A-team of likeminded energetic people from different countries ranging from UK to Australia.
Our head office is in Dubai - a vibrant modern city with lots of activities and night life. Our AI department is set to push boundaries by digitising and structuring as much information about real estate as possible, collecting millions of data points from hundreds of sources and knit the very fabric of the knowledge network about real estate market that our existing and future AI models will learn from. AI is our key competitive advantage and we are serous about building it to be best in class
As Principal AI & ML engineer you will:
develop and deploy modern AI algorithms - deep neural networks, reinforcement learning, graph neural networks
develop and deploy machine learning models - collaborative filtering, SVM, GBM and other
research latest academic developments in AI and propose improvements for Realiste platform
mentor and upskill less experienced ML engineers We want best in class AI and we know what it takes to build best in class AI. We believe you love the art of AI, and we want to give you opportunity to fully embrace your inner genius and create solutions that other people see as magic.
Skills & experience: must have:
have practical experience building and deploying ML and AI models to solve real life problems outside of Kaggle competitions
expert in one of the software stacks for deep learning
expertise and experience in deep learning, can explain how each part of it works
good understanding of statistical concepts
proficient in English - both verbal and written even better if you also:
led team of ML engineers
have experience in reinforcement learning
have experience building graph neural networks
have postgraduate degree in AI / ML
have publications, public brand and public presence
fluency in Russian and English languages is mandatory
What we offer:
We are ready to give lucrative offer to an exceptional candidate
Paying above market, package is negotiable based on candidate experience
Company shares, you invest in future of the company and your own future
Fast career growth opportunities
Paid accomodation and medical insurance in Dubai
Meals in the office, corporate events every week and great team to celebrate with
For this role we encourage candidate to relocate to Dubai where core team and company founders are currently located. For exceptional candidates we might consider remote or semi-remote options. We are looking for people who can put their best, leave and breath with our mission to build new unicorn.
Company Principles and Culture:
Customers come first for us.
Our AI offers clients advantages over traditional investment methods.
Always act in the company's interests.
Culture matters. Avoid working with dishonest people.
We treat everyone equally, regardless of age, religion, and other factors.
Our clients should earn a return at least twice the market average, with risks at least twice lower than the market average.
Unit economics should always be positive. Always calculate all costs and unit economics (of the business, your time for the company, offers for clients).
Always calculate the real cost of downtime from your inaction and your colleagues for the company and take actions to ensure there is no downtime (this applies to your decisions and inaction).
