Machine Learning Engineer

Hostelworld; Palermo; Remoto; EUR 68.000 - 103.000; Tempo pieno

Descrizione del lavoro

A leading travel technology company is seeking a Machine Learning Engineer to translate business problems into data-driven solutions. Responsibilities include designing and maintaining machine learning systems, utilizing a variety of libraries and frameworks, and ensuring scalable architecture. The ideal candidate is experienced in Python and SQL, with a strong grasp of machine learning concepts. This position offers full remote flexibility and a comprehensive benefits package.

Servizi

Competitive salary & benefits

Enhanced annual leave plus 3 Wellbeing Days

Paid family leave

Agile working policy

Ongoing growth & development support

Inclusive people policies

5 paid volunteering days

Competenze

• Proficiency programming in Python and SQL-like databases.
• You are proficient in machine learning tasks like classification or regression.
• Ability to design scalable solutions for increasing volumes of data.

Mansioni

• Translate business and customers problems into machine learning solutions.
• Propose and maintain machine learning solutions in production.
• Ensure solutions are maintainable, performant, and scalable.

Conoscenze

Machine learning concepts

Data exploration

Feature engineering

Model selection

Training and testing

Programming in Python

SQL-like databases

Strumenti

scikit-learn

pandas

Spark MLlib

TensorFlow

PyTorch

Descrizione del lavoro

At Hostelworld (Permanent), in Porto, Portugal

Expires at : 2026-03-26

Remote policy : Full remote

Hostelworld Group PLC is a ground-breaking social network powered OTA focused on the hostel market, with a clear mission to help travellers find people to hang out with.

Founded in 1999, we’re a well-known 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 2021 and 2022.

Role Responsibilities

• Translate business and customers 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.

Skills and Experience

• Proficiency in machine learning concepts such as data exploration, feature engineering, model selection, training and testing.
• Proven experience in productization of machine learning solutions – libraries, packages, REST APIs, serving and monitoring.
• Familiarity with natural language understanding or image processing.
• Familiarity with deep learning.

Main requirements

• 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 MLlib, TensorFlow or PyTorch.
• 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.

Benefits & Perks

• 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