MACHINE LEARNING ENGINEER

ABOUT US Hostelworld Group PLC is a groundbreaking social network powered OTA focused on the hostel market with a clear mission to help travellers find people to hang out with.
Founded in were a wellknown trusted brand with 240 teammates across 11 countries; hostel partners in 180 countries; and a strong commitment to building a better world in all that we do.
In particular our focus in the last few years has been on improving the sustainability of the hostelling industry through our membership of the Global Sustainable Tourism Council (GSTC); our active involvement in the Global Tourism Plastics Initiative (GTPI); our partnerships with Bureau Veritas to establish emissions benchmarks for the hostelling industry; and our recent partnership with the South Pole to offset all our greenhouse gas emissions in and .
You can read more about our story here.
Hostelworld site.
Hostelworld is listed on the London Stock Exchange Dublin Euronext and is an Investors in Diversity accredited employer.
LOCATION This role is based in Portugal.
We have an office space in central Porto for those who prefer a hybrid model where you can spend time with colleagues inperson.
If necessary the role can be remote within Portugal with coming together for team meetings as needed.
WHO YOULL WORK WITH Hostelworld is structured differently than most tech companies in world as we do not have anEngineering or Product department.
Instead we have Growth Teams which are full stack groupsthat are organised into cross functional squads.
As a Machine Learning Engineer you will play a keyrole in shaping the Data Science Growth Team progress on building products that help travellers findthe right inventory of hostels and experiences.
WHAT YOULL DO Translate business and customers problems into machine learning solutions.
Defininghypotheses measure and monitor the success.
Propose design build maintain and push machine learning solutions into production.
Express and communicate the business and technical impact of the machine learningsolutions to a variety of audiences.
Responsible for the endtoend process of designing and running experiments to servingproduction models at scale.
Ensure that the solutions are maintainable performant scalable and debuggable.
Automate and abstract away different repeatable routines that are present in most machinelearning tasks.
Provide support to software engineers and product managers building machine learningsolutions.
Bring the best software development and infrastructure practices to the data science squad.
WHAT WERE LOOKING FOR Experience & Qualifications.
Proficiency in machine learning concepts such as data exploration feature engineeringmodel selection training and testing.
Proven experience in productization of machine learning solutions libraries packagesREST APIs serving and monitoring.
Familiarity with ranking recommender systems and natural language understanding.
Familiarity with deep learning.
Knowledge & Skills.
Proficiency programming in Python and SQLlike databases.
You are proficient in at least one of the following machine learning tasks classificationregression or clustering.
You are familiar with at least two of the following libraries or packages scikitlearn pandasSpark MLlib TensorFlow or PyTorch.
Ability to carefully design solutions that scale with increasing volumes of data.
Ability to followsoftware engineering best practices including requirements analysis system designmodularity version control testing and documentation WHAT WE OFFER Competitive salary & benefits Enhanced annual leave plus 3 Wellbeing Days per year Paid family leave (maternity paternity surrogacy & adoption) Agile working (plus a Working from Abroad Policy!) Support for your ongoing growth & development Inclusive people policies (sickness menopause compassionate and fertility leave) A chance to give back to your local community with 5 paid volunteering days OUR BEHAVIOURS Grow others We fundamentally believe that investing in growing others benefits everyone whether its helping them develop hard or soft skills.
We want learning and growing to be part of our DNA to help makes us a better team together.
Master it We are obsessed with our area of expertise and enjoy developing our skills.
We rarely take things at face value; we investigate interrogate and always look for the why and wherever possible we use data to find the best solution.
Collaborate We are in it together for the tough stuff and the celebrations too.
To achieve the best results we need expertise from all areas of the organisation and we wholeheartedly welcome diverse thinking.
Adapt We work fluidly adapting to new information and the evolving environment while staying committed to our goals.
Innovation and experimentation fuel our projects and were never afraid to pivot.
Deliver Our focus is always on the end result; we value outcomes over activity.
We collaborate to deliver work at speed without dropping any of our other behaviours.
Our people are key to our success.
Our talented and diverse teams reflect the diversity of our customers and the communities in which we operate.
Everyone brings different perspectives and experiences; you dont have to meet all the requirements listed above to apply for this role.