Junior Machine Learning Engineer

1 week ago

Madīnat an Naşr, Cairo, Egypt Advansys Full time 240,000 - 400,000 per year

Advansys is looking for a Junior Machine Learning Engineer to join our dynamic team. This is an excellent opportunity for recent graduates or individuals with foundational experience in machine learning to advance their careers in a supportive and innovative environment. You will assist in the development, implementation, and monitoring of machine learning models and algorithms.

Key responsibilities include:

  • Assisting in the design and implementation of machine learning models under the guidance of senior engineers.
  • Conducting data cleaning and preprocessing to prepare datasets for training models.
  • Supporting the evaluation and fine-tuning of machine learning algorithms.
  • Collaborating with cross-functional teams to understand project requirements and objectives.
  • Documenting processes, model training, and outcomes clearly and comprehensively.
  • Staying updated with industry trends and best practices in machine learning and AI.
  • Participating in team meetings and contributing to brainstorming sessions.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Basic understanding of machine learning concepts and algorithms.
  • Familiarity with programming languages such as Python or R, and experience with ML libraries (e.g., scikit-learn, TensorFlow, or Keras).
  • Experience with data manipulation and analysis tools such as Pandas and NumPy.
  • Strong analytical and problem-solving skills.
  • Good communication skills and the ability to work effectively in a team environment.
  • Enthusiasm for learning new technologies and techniques in AI/ML.
  • Internship or project experience in machine learning or data analysis is a plus.

Benefits

What We Offer:

* Hands-on experience working on real-world AI/ML projects.

* Mentorship and guidance from experienced AI/ML professionals.

* Opportunity to learn and apply cutting-edge technologies.

* Collaborative and supportive work environment.

* Competitive internship compensation.

This internship will be from 1 to 3 Months

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