Descrizione Lavoro
At ElasticHotel we are on a mission to revolutionize how hoteliers are using technology. We set out to unify a highly fragmented software landscape and offer the right tools, interfaces and expertise for the job.
Overview
Things you could be working on…
Short and Long Term Hotel Booking Forecast
Engineer ML data and feature pipeline
Build and Deploy ML Models in production
Model Price Elasticity to optimize Hotel revenue
Deploy GenAI applications in production
What will make you stand out
You are excited about ML, coding, and you love to learn something new
You have maintained production-level constrained forecasting models or ML models
Knowledge in ML data pipelines, and best practices in ML development
You want to grow as an engineer and are analytical in your systems design approach
You worked and developed constrained forecasts for hospitality, travel or any other constrained capacity markets
Experience with cloud based solutions (e.g. AWS, Azure, GCP)
Familiarity with the hospitality industry
What we offer
Fully remote position
Work closely with the core team and bring features to prod fast.
We believe in the power of innovation. Want to try out a new machine learning model? Develop some new feature that could be its own business unit?
We believe your time is incredibly valuable. Our interview process is pretty straightforward and we aim to complete the entire loop in less than 2 weeks:
Technical Rounds (45+45 minutes)
Next are 2 quick technical interviews to understand whether we fit together from a technical perspective, a skill assessment and architecture/problem solving exercise.
Interviewing is a two-way street. This is a chance for us to learn about each other.
Get to know the role, company, tech stack, company cultures and your hiring manager.
While we understand that there are limitations with understanding technical fit in 45+45 minutes, for the skill assessment part we offer two options for this round:
This is your chance to invite us on your turf. Show us your skills in an environment that is familiar to you.
Show us a project you are passionate about and explain your approach, the problem and the solution.
OR
In this session we’ll dive into code. Since we’ll be working on some tough problems at work we are curious about your style when it comes to problem solving.
We’ll try our best to align this with the skills mentioned on your resume.
Problem Solving exercise (45 minutes)
During this interview we will work together on a problem to understand how you think through potential solutions, how do you communicate and what is your general experience level in architecturing complex systems.
Meet the team (45+45 minutes)
Round 1: Meet the Founder
Round 2: Meet the Head of Product
Ask any final questions you have about us and the way we operate
Open roles
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