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São José dos Campos, SP, Brasil

Data Scientist

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Hybrid

São José dos Campos, SP, Brazil

Salary Range

Not informed

Experience Level

Mid level

Requirements

3+ years of experience in the career
SQL
Python
Machine Learning
Deep Learning

Desired Skills

LLMs
MLOps
OpenCV
YOLO
IA Generativa

Tasks and Responsibilities

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We are looking for a Data Scientist passionate about Artificial Intelligence to work on developing innovative solutions for the Free Flow project, contributing to the evolution of technologies that transform smart mobility.


You will be part of a multidisciplinary team, participating in the creation and optimization of Machine Learning, Deep Learning, and Generative AI models, developing Computer Vision solutions, analyzing large volumes of data, and evolving the algorithms that support a critical business solution.


If you enjoy solving complex problems, working with cutting-edge technology, and generating real impact through data and artificial intelligence, this opportunity is for you.


Requirements

  • Bachelor's degree completed in Computer Science, Computer Engineering, Information Systems, Data Science, or related fields.
  • Experience with data processing, cleaning, and analysis.
  • Experience with libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, or PyTorch.
  • Experience in developing, training, and validating Artificial Intelligence models.

Differentials

  • Experience with Computer Vision and image processing.
  • Experience with Docker and Linux.
  • Experience in cloud environments (AWS, Azure, or Google Cloud Platform).
  • Experience in mobility projects, electronic toll collection, or intelligent transportation systems.

Behavioral Competencies

  • Analytical profile and problem-solving orientation.
  • Curiosity and interest in innovation and new technologies.
  • Ability to investigate and continuous learning.
  • Proactivity and autonomy.
  • Strong communication and interpersonal skills.
  • Ability to work in multidisciplinary teams.
  • Organization and attention to detail.

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