Job General

Machine Learning Engineer

We're looking for an enthusiastic and resourceful ML Engineer to join our team and help us build software for people in the hospitality industry. While the role is focused on model development and deployment, our team is still small enough for you to carve out your areas of responsibility, to lead and make an impact where it's most needed. At any given time you might be

 

  • Contributing to and Influencing into our product roadmap
  • Building and deploying production ready AutoML models
  • Building and developing our data pipelines and infrastructure

WHY US?

We're a small team with a lot of things to learn and do. We're building a company, a culture and a product with global ambition. Culture fit is really important to us here at Nory, and Teamwork is the name of the game so we are looking for someone who shares our values. We're big on research and communication, and we will expect the same from you. No matter the role spec, you'll do great if you think customer-first and are willing to learn about the industry we operate in. 

As one of our first sales hires you will immediately set the tone of the sales org. How do we speak with prospective customers? How do we achieve ambitious goals that are intrinsic to Nory’s immediate and future success? We will give you the support and resources you need to succeed, so that as Nory grows you do too. This is an incredible opportunity to join a company ready to take off. If successful, you will have the opportunity to progress to an Account Executive role in less than one year. We are looking for rock stars to join our team not only as BDRs, but also as future Nory Sales leaders.

Are you the type of person who wants to influence the journey of our company, help us grow from launch through product market fit to global scale?  If you’re ready to bring your spark to our team, then look below for the technical requirements!

 

  • 3+ years experience with Python Data Science Stack
  • Proven experience with AutoML libraries (Scikit Learn, TensorFlow, etc.)
  • Deploying and maintaining machine learning models into a production environment
  • Familiarity with SQL and NoSQL databases (SQL, MongoDB etc.)
  • Experience with software development practices tools and practices (git, code reviews, pair programming etc.)· ·
  • Working in agile methodology with continuous delivery (Scrum, CI/CD etc.)


Here are a couple more things that would make you an ideal candidate

 

  • Hands-on experience with  AWS cloud architecture such as AWS Lambda, Step Functions, SageMaker.
  • Previous experience with building ML pipelines


We understand unicorns don't exist though, and skills can be learned. If you don't meet every single item below but have worked in a machine learning production environment and have the self-drive to level-up; let’s chat!

  • Stock Options
  • Flexible working culture
  • Home office setup
  • 25 days holidays per year
  • Annual personal development budget
  • Pension and private health insurance
  • Regular workshops, presentations and learning sessions
  • Regular events and team get-togethers
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