Senior Machine Learning Platform Engineer

Findhotel

Engineering & Technology

Hospitality & Hotel Confidential
2 months ago

Job Summary

At FindHotel, we make heavy use of machine learning models to make critical business decisions like pricing available hotels, projecting cancellations and bidding in marketing channels, among others. We have a diverse team of data scientists, data analysts and business users contributing to making FindHotel machine learning driven organisation. You will be part of the team evolving our Machine Learning platform to make it more scalable.

  • Minimum Qualification:Degree
  • Experience Level:Senior level
  • Experience Length:6 years

Job Description/Requirements

What you will actually be doing / responsibilities

  • Collaborate with other Machine Learning and Data engineers to build our next generation Machine Learning platform following current industry standards.
  • Develop batch and online inference systems at scale.
  • Create products that will enhance model monitoring and experiment tracking in production.
  • Build, deploy and manage production ready Machine Learning pipelines in collaboration with Data Scientists.
  • Deploy and manage the resources of our Machine Learning infrastructure using IaC and CI/CD best practices.
  • Collaborate with Data Scientists. Data Engineers, Data Analysts and other stakeholders to understand and fulfil their machine learning needs.
  • Work in a multi-functional agile team to continuously experiment, iterate and deliver on new product objectives.
  • Iterate continuously using best practices to upgrade our effort in achieving world class Machine learning platform


What can you expect at the beginning of this experience?

  • In your first week, you will get acquainted to the squads, its codebase and the tooling, with the goal of shipping something to production and build confidence early on.
  • In your first month, you will get to know more people from the other squads and disciplines, in order to understand the foundation of the business and the various bits it is made of.
  • One quarter in, you will be effectively an active member of your squad and your teammates will fully count on you; you will have built meaningful relationships within the company and be comfortable discussing ideas, inside and outside of your squad’s scope; ideally, you will have presented a topic you are fond of in one of our internal knowledge sharing sessions and/or demoed some work the team did during our weekly all-hands meeting.


Typical day activities

  • Attend the daily standup with your squad where you will track how the current sprint is going towards the sprint goal, identify any possible blocker and adapt accordingly.
  • Meet your peers to discuss the design of the next machine learning platform product.
  • Build a new module of the machine learning platform to help data scientist and business people improve their work.
  • Test a new tool or framework that could be used in our machine learning environment.
  • Participate in peer programming and mentoring sessions to improve your coding skills and engineering practices.


Who we are looking for

  • You are willing to build a career in Machine Learning engineering and grow into a reference at FindHotel.
  • You have strong experience with cloud platforms and you like to get your hands dirty with them.
  • You understand the needs of Data Scientists and you love to create tools to improve their work.
  • You know your way with Python and you also manage with other languages like Go.
  • You are knowledgeable about what it takes to build a scalable Machine Learning platform and you are willing to put the components together.
  • You can manage end to end deployment of Machine Learning models and include the various necessary touch points.
  • You are not scared of data science algorithms and don’t view them as just another blackbox
  • You are pragmatic and curious, and you love to get things done.
  • You engage with your team and all the engineering group actively, sharing knowledge and best practices in order to improve with them every day.
  • You are familiar with Agile Methodologies.

Important Safety Tips

  • Do not make any payment without confirming with the Jobberman Customer Support Team.
  • If you think this advert is not genuine, please report it via the Report Job link below.
Report Job

Share Job Post

Stay Updated

Join our newsletter and get the latest job listings and career insights delivered straight to your inbox.

We care about the protection of your data. Read our privacy policy.

Lorem ipsum

Lorem ipsum dolor (Location) Lorem ipsum ₵ Confidential

Job Function : Lorem ipsum

4 months ago

Lorem ipsum

Lorem ipsum dolor (Location) Lorem ipsum ₵ Confidential

Job Function : Lorem ipsum

4 months ago

Lorem ipsum

Lorem ipsum dolor (Location) Lorem ipsum ₵ Confidential

Job Function : Lorem ipsum

4 months ago

Stay Updated

Join our newsletter and get the latest job listings and career insights delivered straight to your inbox.

We care about the protection of your data. Read our privacy policy.

This action will pause all job alerts. Are you sure?

Cancel Proceed
Follow us On:
Follow us on FacebookFollow us on InstagramFollow us on LinkedInFollow us on TwitterFollow us on YouTube
Get it on Google Play
2023 Jobberman