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Leonardo

Aerospace, defense tech design and manufacturing

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-time$36k - $50k

About the Job

Requirements

  • A master's degree in Engineering, Mathematics, Physics, Statistics, Computer Science, or another subject related to Machine Learning.
  • At least 3 years of proven experience in machine learning and deep learning activities.
  • Knowledge of machine learning and a solid foundation in statistics to analyze and interpret complex data.
  • Deep expertise and practical experience implementing and optimizing advanced deep learning models.
  • Ability to apply machine learning and deep learning techniques to real-world problems using modern tools and frameworks.
  • English language proficiency at least at B2 level.
  • Excellent knowledge of machine learning and good knowledge of statistics.
  • Excellent knowledge of deep learning.
  • Excellent knowledge of Transformers, Recurrent Neural Networks, and Convolutional Neural Networks architectures.
  • Mandatory excellent knowledge of Python.
  • Excellent knowledge of PyTorch, Transformers (Hugging Face), and scikit-learn frameworks.

Responsibilities

  • Identify technologies and software requirements for AI and deep learning solutions.
  • Identify and design new AI and deep learning solutions.
  • Analyze product needs.
  • Define software requirements.
  • Develop the related software.
  • Participate in European-funded projects in the defense and cybersecurity fields.

About the Company

Leonardo

Aerospace, defense tech design and manufacturing

Leonardo operates in aerospace, defense, and security, designing and manufacturing advanced technologies for militaries, intelligence agencies, and defense contractors. Its products combine hardware, software, and services and are delivered through subsidiaries in the US (DRS, Electronics US, Critical Infrastructure, Aircraft and Aerostructures US). It differentiates itself with a broad, diversified portfolio and end-to-end support from development to sustainment, plus training and customer service. Its goal is to provide reliable, state-of-the-art capabilities to defense, intelligence, and civil infrastructure customers while maintaining strong support and training.

Company size
10,001+
Company stage
IPO
Headquarters
Rome, Italy
Founded
2022

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