Machine Learning Scientist

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)

What your impact will be:

• Develop real-time machine learning solutions to deal with challenging real-world problems on big data
• Develop Ranking Algorithms based on deep learning
• Collaborate in a cross-functional team including machine learning scientists software engineers machine learning engineers and project managers

Qualifications :

Your expertise:

• A Ph.D. in Computer Science Mathematics or Physics or a Masters degree with a minimum of 3 years of experience in machine learning.
• Excellent knowledge of Supervised methods (Classification Regression) and Unsupervised methods (Clustering Feature Selection Dimensionality Reduction)
• Good 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)
• Experience with Deep Learning (Recurrent Neural Networks Convolutional Neural Networks and Autoencoders)
• Experience with Keras (and TensorFlow) or PyTorch

Desirable:

• Experience in Uncertainty Estimation (Monte Carlo Dropout Deep Ensembles)
• Able to find creative solutions to interesting problems
• Curious with a constant desire to learn and collaborate

Additional Information :

Perks of working with us:

How we work together:
- An inclusive friendly and international environment (youll be working with colleagues from 10 countries and over 48 nationalities)
- Shorter working week with a half working day on Fridays
- Flexible start and end of the working day
- Possibility to work from anywhere for a period of time per year defined according to local regulations

How we learn together:
- Fri-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.
- Professional and managerial skills development training paths access to e-learning platforms such as OReilly Udemy Coursera (depending on the department) and to our internal platform offering bespoke training content

Other perks:
- 2 paid days off per year for volunteering purposes
- Occasional social events to foster connections among colleagues
- Travel industry discounts and flash exclusive staff fares
- We support our employees through lifes significant moments with leave options (e.g parental responsibilities marriages bereavements relocations etc.) in line with local laws.

Wish you were here We do too!

Selection process steps*:

- HR interview (30 minutes)
- 1st interview (Manager 1 hour): Machine learning Python coding
- 2nd interview (Director 45 min): Soft skills  machine learning knowledge
- Offer extended
(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At 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.

Eligibility criteria:
By 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.

Please submit your resume in English
Please submit your resume in English

Remote Work :

No

Employment Type :

Full-time