Machine Learning Scientist

vor 2 Wochen

Chiasso, Tessin, Schweiz lastminute Vollzeit
Company Description


At the heart of our culture is a commitment of 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.

Job Description:

Key responsibilities will include:

Develop pseudo-realtime machine learning solutions to deal with challenging real-world problems on big data
Develop ranking and recommandation algorithms to improve our customers' expericence
Collaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managers

Qualifications:

Essential

  • A Ph.
D. in Computer Science, or Mathematics, or Physics.

  • Excellent knowledge of Supervised methods (Classification, Regression) and Unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction)
  • Excellent knowledge of Python and SQL
  • Knowledge of the most important Python libraries for Machine Learning and Data Analysis (scikitlearn, Pandas, matplotlib, Numpy, Scipy, MLflow)
  • Experience with distributed version control systems: mostly Git (Github and/or Bitbucket).
  • Experience with Deep Learning (Recurrent Neural Networks, Convolutional Neural Networks, Transformer, and Autoencoders)
  • Experience with Keras (and tensorflow) or PyTorch

Desirable

  • Reinforcement Learning (Multi Armed Bandit, Markov Decision Process, Qlearning)
  • Able to find creative solutions to interesting problems
  • Curious with a constant desire to learn and collaborate
  • Knowledge of Spark is a plus
Additional Information

What we offer

By joining our company, you will have the chance to:

  • Join a dynamic team in an inclusive-international environment
  • Grow thanks to the career journey and our internal mobility perspective
  • Manage your own schedule thanks to the flexible start and end of the working day
  • Work a shorter working week (36h), of which 4 hours on Friday morning
  • Get focus time for learning, development and deep work on Friday mornings
  • Enjoy continuous training thanks to our company platform
  • Benefit from employee discounts on travel
  • Receive 2 days off per year for the purpose of volunteering
  • Receive a voucher after some years in the company
  • Get free snacks / fruit / hot drinks/water / beverages at our offices
  • Participate in amazing winter and summer corporate events
  • Benefit from extended parental or marriage leave according to local laws
  • Welfare platform (Corporate Benefits) where you will find dedicated discounts with more than 1500 partners

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