Data scientist in Cyberette

A young startup focused on developing advanced technology solutions is seeking a Data Scientist for a temporary contract position with the potential for a long-term role. The ideal candidate will have a strong background in machine learning, deep learning and data analytics, as well as experience in the cybersecurity industry.

Essential Responsibilities

Essential Responsibilities

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• Develop, train, and tune machine learning models using existing code and frameworks.
• Perform data preprocessing, augmentation, and feature engineering to improve model performance.
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• Using machine learning and deep learning techniques to improve the accuracy and efficiency of our solutions.
• Using the ImageNet dataset to pre-train models and transfer training to improve capabilities.
• Collaboration with the engineering team to integrate the models into the production environment.
• Conducting rigorous testing and validation of the models to ensure their reliability and stability.
• Keeping up to date on the latest advances in deep learning and computer science techniques vision.

Required qualifications

• Proficiency in Python.
• Experience with machine and deep learning frameworks , including TensorFlow, Keras, and PyTorch.
• Deep understanding of computer vision techniques and tools.
• Experience with ImageNet dataset for training and transfer learning.
• li>Cybersecurity industry experience.
• Experience with cloud platforms such as Azure for scalable data processing and storage.
• High problem solving skills and ability to work independently.
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• Professional command of the English language.

Desired qualifications

• Familiarity with deploying machine learning models in production environments.
• Knowledge of RESTful API and integration of models with third-party applications.

What we offer

• Remote work.
  
• Decent salary under a temporary contract with the possibility of long-term employment.
• Flexible work schedule.
• Opportunity to work on advanced technologies.
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• Cooperation in a friendly and inclusive work environment.