Requirements: English
Company: TN Switzerland
Region: Chiasso , Ticino
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At , 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.
We are looking for a Machine Learning Scientist to join our team of around 1,700 people worldwide to help us enhance the travelers'' journey for millions of holidaymakers. If you are a motivated machine learning scientist who loves working on challenging real-world problems with big data, keep reading, as you might be the perfect fit for this role.
Job Description
Job Title - Machine Learning Scientist
Working model - hybrid at Chiasso office
Team - You will join the Strategic Analytics team in the Technology department.
Level - Professional
Location - Chiasso, Switzerland
Contract - Permanent, full-time (36 h/week)
Your impact will include:
- Developing real-time machine learning solutions for challenging real-world problems on big data
- Developing ranking algorithms based on deep learning
- Collaborating in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managers
Qualifications
Your expertise:
- A degree in Computer Science, Mathematics, Physics, or a Master''s degree with at least 3 years of experience in machine learning
- Excellent knowledge of supervised (classification, regression) and unsupervised (clustering, feature selection, dimensionality reduction) methods
- Proficiency in Python and SQL, with experience using libraries such as scikit-learn, Pandas, matplotlib, Numpy, Scipy, MLflow
- Experience with deep learning frameworks like Keras (and TensorFlow) or PyTorch, and with models such as RNNs, CNNs, and Autoencoders
- Knowledge of uncertainty estimation techniques like Monte Carlo Dropout and Deep Ensembles
- Ability to find creative solutions to interesting problems
- A curious mindset with a desire to learn and collaborate
Additional Information
Perks of working with us:
How we work together:
- An inclusive, friendly, and international environment (colleagues from over 10 countries and 48 nationalities)
- Shorter workweek with a half-day on Fridays
- Flexible start and end times
- Option to work remotely for a defined period each year according to local regulations
How we learn together:
- Fri-Yays: half a day on Friday morning dedicated to deep work, personal growth, learning, training, and focus
- Access to professional development through platforms like O''Reilly, Udemy, Coursera, and internal training content
Other perks:
- Two paid days off per year for volunteering
- Occasional social events
- Travel industry discounts and staff fares
We look forward to your application!
Selection process steps:
- HR interview (30 minutes)
- First interview with manager (1 hour): machine learning and Python coding
- Second interview with director (45 minutes): soft skills and machine learning knowledge
- Offer extension
(*Note: the process may vary slightly. The recruiter will provide more details during scheduling.)
Our commitment to diversity:
We are dedicated to inclusion across race, gender, age, sexual orientation, religion, gender identity/expression, and accessibility. We believe in equal opportunities and value the diversity of experiences and perspectives, which drive innovation. We aim to reflect the communities we serve in our workforce.
Eligibility:
By applying, you confirm you are authorized to work in the country of employment and do not require visa sponsorship.
Please submit your resume in English.
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