Machine Learning Engineer for Travel Industry Innovation

hace 7 días


Barcelona, Barcelona, España Lastminute Group A tiempo completo

Estimated salary: $130,000 - $200,000 per year

About Lastminute Group

Lastminute Group is a leading European travel technology company that operates a portfolio of well-known brands. Our mission is to leverage technology to simplify, personalize, and enhance our customers' travel experience.

We are looking for a motivated Senior Machine Learning Scientist to join our team and contribute to our innovation efforts. The selected candidate will work closely with our machine learning/data scientists and software engineers to develop and implement cutting-edge solutions for our travel industry clients.

The key responsibilities include developing pseudo-realtime machine learning solutions to deal with challenging real-world problems on big data, developing ranking and recommendation algorithms to improve our customers' experience, and collaborating in a cross-functional team.

Requirements

To be successful in this role, you must have a Ph.D. in Computer Science, Mathematics, or Physics, and at least 5 years of experience in the field. Your excellent knowledge of Supervised methods (Classification, Regression) and Unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction) will be put to the test as you develop and implement complex machine learning models.

You should also have experience in Reinforcement Learning (Multi-Armed Bandit, Markov Decision Process, and Q-learning) and excellent knowledge of Python and SQL. Additionally, you must have knowledge of the most important Python libraries for Machine Learning and Data Analysis (scikit-learn, Pandas, matplotlib, Numpy, Scipy, MLflow).

Why Join Us?

At Lastminute Group, we believe in creating a collaborative and inclusive environment where our employees can thrive. We offer a range of benefits, including flexible working hours, continuous training, and employee discounts on travel. You will also have the opportunity to work on exciting projects and collaborate with our talented team members.



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