Real-Time ML Scientist — TravelTech (Hybrid Chiasso)

SmartRecruiters, Inc.

Chiasso

Hybrid

CHF 120.000 - 160.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Hybrid Chiasso office
Flexible work hours
International team
Volunteer days
Leave options for life events

Zusammenfassung

At lastminute.com is seeking a Machine Learning Scientist to join its Strategic Analytics team in Chiasso. The role is hybrid with a Chiasso office location and a 36 h/week schedule.

You will contribute to real-time ML systems and ranking algorithms, collaborating with ML scientists, software engineers, and project managers. The ideal candidate holds a PhD or MSc with several years in ML, is proficient in Python/SQL and ML libraries, and has hands-on experience with DL frameworks such as

Qualifikationen

  • PhD in CS/Math/Physics or MSc with 3+ years in ML.
  • Strong knowledge of supervised and unsupervised ML methods.
  • Proficiency in Python and SQL with ML libraries.
  • Experience with DL architectures and modern frameworks.
  • Experience with uncertainty estimation techniques.

Aufgaben

  • Develop real-time ML solutions for big data problems.
  • Build ranking algorithms based on deep learning.
  • Collaborate with ML scientists, software engineers, and PMs.

Kenntnisse

PhD/Master ML
ML algorithms
Python/SQL
Deep learning
Keras/TensorFlow or PyTorch
Uncertainty estimation
Creative problem solving
Collaborative mindset

Ausbildung

PhD in CS/Math/Physics or MSc with 3+ years ML

Tools

Keras
TensorFlow
PyTorch
scikit-learn
Pandas
NumPy
SciPy
MLflow

Jobbeschreibung

At lastminute.com is seeking a Machine Learning Scientist to join its Strategic Analytics team in Chiasso. The role is hybrid with a Chiasso office location and a 36 h/week schedule.

You will contribute to real-time ML systems and ranking algorithms, collaborating with ML scientists, software engineers, and project managers. The ideal candidate holds a PhD or MSc with several years in ML, is proficient in Python/SQL and ML libraries, and has hands-on experience with DL frameworks such as

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