Machine Learning Scientist

☞ lastminute.com

View: 193

Update day: 14-04-2024

Location: Chiasso Ticino TI

Category: Science Labor

Industry: Technology Information Internet

Position: Mid-Senior level

Job type: Full-time

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Job content

We are looking for a motivated Machine Learning Scientist to work with challenging real-world problems on big data. The selected candidate will be part of a team composed of ten machine learning/data scientists and three machine learning engineers. This position is based in our office in Chiasso (Switzerland) or eventually in Spain.

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 (scikit-learn, 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, Q-learning)
  • 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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Deadline: 29-05-2024

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