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Machine Learning Enginee

REFERENCE HOLDING GROUP

Fresnes · Hybrid Contract Today

About the role

Company Description

Reference Holding Group is a consulting and engineering services provider based in Egypt, with over 18 years of experience. The organization specializes in infrastructure, architectural, structural, and electromechanical works, including design, tender preparation, supervision, and technical support. Their expertise spans a wide array of projects such as water supply networks, sewer systems, sewage treatment plants, desalination units, and advanced electromechanical works for various types of buildings and recreational facilities. The company combines the technical and managerial skills of highly qualified engineers to deliver exceptional consulting services at competitive rates.

Role Description

This is a full-time hybrid role for a Machine Learning Engineer based in Paris, with flexibility for some work-from-home days. The role involves designing, developing, and implementing machine learning models and algorithms to address complex technical challenges. Responsibilities include researching and applying advanced techniques in pattern recognition, optimizing machine learning models, writing efficient code, and collaborating with cross-functional teams to achieve project goals.

Qualifications

  • Strong understanding and proficiency in Pattern Recognition and Neural Networks
  • Knowledge of core Computer Science principles, including Algorithms
  • Solid foundation in Statistics and mathematics for building and analyzing machine learning models
  • Experience with machine learning libraries, frameworks, and tools
  • Bachelor's or higher degree in Computer Science, Engineering, Mathematics, or a related field
  • Proficiency in programming languages like Python, R, or Java
  • Strong problem-solving skills and the ability to work collaboratively in hybrid work settings

Requirements

  • Strong understanding and proficiency in Pattern Recognition and Neural Networks
  • Knowledge of core Computer Science principles, including Algorithms
  • Solid foundation in Statistics and mathematics for building and analyzing machine learning models
  • Experience with machine learning libraries, frameworks, and tools
  • Proficiency in programming languages like Python, R, or Java
  • Strong problem-solving skills and the ability to work collaboratively in hybrid work settings

Responsibilities

  • Designing, developing, and implementing machine learning models and algorithms to address complex technical challenges.
  • Researching and applying advanced techniques in pattern recognition.
  • Optimizing machine learning models.
  • Writing efficient code.
  • Collaborating with cross-functional teams to achieve project goals.

Skills

AlgorithmsJavaMachine LearningNeural NetworksPattern RecognitionPythonR

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