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 h3Job Description /h3 pJob Title - Machine Learning Scientist /p pWorking model - hybrid at Chiasso office /p pTeam - You will join the Strategic Analytics team in the Technology department. /p pLevel - Professional /p pLocation - Chiasso, Switzerland /p pContract - 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 h3Qualifications /h3 pYour expertise: /p 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 /ul h3Desirable /h3 ul 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 h3Additional Information /h3 h3Perks of working with us /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 work 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 pOur commitment to celebrate diversity and generate belonging /p 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 /p #J-18808-Ljbffr