Machine Learning Scientist in Mendrisio

ppAt lastminute.com, we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world. /p pWe are looking for a Machine Learning Scientist to join our team of around 1,700 people worldwide to help us power up the travelers' journey for millions of holidaymakers. If you are a motivated machine learning scientist who loves to work with challenging real-world problems on big data, keep reading, as you might be the perfect fit for this job. /p h3Job Description /h3 pJob Title - Machine Learning Scientistbr/Working model - hybrid at Chiasso officebr/Team - You will join the Strategic Analytics team in the Technology department.br/Level - Professionalbr/Location - Chiasso, Switzerlandbr/Contract - Permanent - full-time (36 h/week) /p h3What your impact will be /h3 ul liDevelop real-time machine learning solutions to deal with challenging real-world problems on big data /li liDevelop Ranking Algorithms based on deep learning /li liCollaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managers /li /ul h3Your expertise /h3 ul liA Ph.D. in Computer Science, Mathematics, or Physics, or a Master's degree with a minimum of 3 years of experience in machine learning. /li liExcellent knowledge of Supervised methods (Classification, Regression) and Unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction) /li liGood knowledge of Python and SQL, with knowledge of the most important Python libraries for Machine Learning and Data Analysis (scikit-learn, Pandas, matplotlib, Numpy, Scipy, MLflow) /li liExperience with Deep Learning (Recurrent Neural Networks, Convolutional Neural Networks, and Autoencoders) /li liExperience with Keras (and TensorFlow) or PyTorch /li liExperience in Uncertainty Estimation (Monte Carlo Dropout, Deep Ensembles) /li liAble to find creative solutions to interesting problems /li liCurious with a constant desire to learn and collaborate /li /ul h3Perks of working with us /h3 h3How we work together /h3 ul liAn inclusive, friendly, and international environment (you’ll be working with colleagues from +10 countries and over 48 nationalities) /li liShorter working week, with a half working day on Fridays /li liFlexible start and end of the working day /li liPossibility to work from anywhere for a period of time per year defined according to local regulations /li /ul h3How we learn together /h3 ul liFri-Yays: half a day on Friday morning with a no-meeting mandate and dedicated to deep work, personal growth, learning and training and/or focus time. /li liProfessional and managerial skills development training paths, access to e-learning platforms such as O'Reilly, Udemy, Coursera (depending on the department), and to our internal platform offering bespoke training content /li /ul h3Other perks /h3 ul li2 paid days off per year for volunteering purposes /li liOccasional social events to foster connections among colleagues /li liTravel industry discounts and flash exclusive staff fares /li liWe support our employees through life's significant moments with leave options (e parental responsibilities, marriages, bereavements, relocations, etc.) in line with local laws. /li /ul pWish you were here? We do, too! /p h3Selection process steps* /h3 ul liHR interview (30 minutes) /li li1st interview (Manager 1 hour): Machine learning + Python coding /li li2nd interview (Director 45 min): Soft skills +machine learning knowledge /li liOffer extended /li /ul p(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview) /p h3Our commitment to celebrate diversity and generate belonging /h3 pAt the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel. /p h3Eligibility criteria /h3 pBy submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status. /p pBy clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply /p /p #J-18808-Ljbffr