Machine Learning Engineer

At Hostelworld ( Permanent), in Porto, Portugal Expires at: 2025-05-19 Remote policy: Full remote ABOUT US Hostelworld Group, the global hostel-focussed online booking platform, inspires adventurous minds to meet the world and come back with life-changing stories to tell.
Our customers are not your average tourists, they crave cultural connection and unique experiences that we make possible by providing an unbeatable selection of hostels in unmissable locations – all in the palm of their hand.
It is the social nature and community feel of hostels and their environment, that enable travellers to embrace journeys of discovery, adventure and meaning.
We have more than 13 million reviews across 17,800 hostels in more than 179 countries, making the brand the leading online hub for social travel.
The website operates in 19 different languages and our mobile app in 13 languages.
Founded in 1999 and headquartered in Dublin, Hostelworld has a growing, high-calibre team of 230 people within Technology, Product, Global Markets, HR, Finance amp; Legal and Marketing Teams across our Dublin, London, Porto, Shanghai and Sydney offices.
Hostelworld is listed on the London Stock Exchange and Dublin Euronext.
WHAT YOU'LL DO Translate business and customer problems into machine learning solutions.
Propose, design, build, maintain and push machine learning solutions into production.
Express and communicate the business and technical impact of the machine learning solutions to a variety of audiences.
Responsible for the end-to-end process of designing and running experiments to serving production models at scale.
Define hypotheses, measure and monitor the success of the machine learning solutions.
Ensure that the solutions are maintainable, performant, scalable and debuggable.
Automate and abstract away different repeatable routines that are present in most machine learning tasks.
Provide support to software engineers and product managers building machine learning solutions.
Bring the best software development and infrastructure practices to the data science squad.
Main requirements Proficiency in machine learning concepts such as data exploration, feature engineering, model selection, training and testing.
Proven experience in the productization of machine learning solutions – libraries, packages, REST AP Is, serving and monitoring.
Proficiency programming in Python and SQL-like databases.
You are proficient in at least one of the following machine learning tasks – classification, regression or clustering.
You are familiar with at least two of the following libraries or packages – scikit-learn, pandas, Spark M Llib, Tensor Flow or Py Torch.
Ability to carefully design solutions that scale with increasing volumes of data.
Ability to follow software engineering best practices, including requirements analysis, system design, modularity, version control, testing and documentation.
Nice to have Familiarity with natural language understanding or image processing.
Familiarity with deep learning.
Experience working with remote teams Benefits & Perks Competitive salary amp; benefits  Enhanced annual leave plus 3 Wellbeing Days per year  Paid family leave (maternity, paternity, surrogacy amp; adoption)  Agile working (plus a Working from Abroad Policy!)  Support for your ongoing growth amp; development  Inclusive people policies (sickness, menopause, compassionate and fertility leave)  A chance to give back to your local community with 5 paid volunteering days