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Senior AI ML Engineer (Cairo – Egypt) Ref#: ITG_50

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Onsite

Senior AI ML Engineer (Cairo – Egypt) Ref#: ITG_50

Integrated Technology Group

Senior AI ML Engineer (Cairo – Egypt) Ref#: ITG_50

Skills

Deep LearningPythonData ScienceGitData AnalysisMachine LearningAINLP / Natural Language Processing

19 days ago

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Important information


Location:

Cairo, Cairo Governorate, Egypt

Work mode:

Onsite

Published on:

7 October 2026

What they need


Job Title: Senior AI ML Engineer (Cairo – Egypt) Ref#: ITG_50

Location - Country, City: Cairo – Egypt

Job Summary:

Senior AI/ML Engineer at ITG is responsible for designing, building, and deploying machine learning and artificial intelligence solutions. The Senior AI/ML Engineer has a strong background in data science, software engineering, and applied machine learning, and will play a key role in turning complex data into intelligent, scalable AI-driven systems.

Responsibilities:

  • Develop, test, and deploy machine learning models for classification, regression, recommendation, NLP, computer vision, or time-series problems.
  • Collaborate with data engineers and software developers to integrate ML models into production systems.
  • Lead the end-to-end lifecycle of ML projects, including problem definition, data exploration, model development, testing, deployment, and monitoring.
  • Conduct data analysis and preprocessing: cleaning, transforming, and selecting features for modeling.
  • Optimize model performance through hyperparameter tuning and evaluation metrics.
  • Stay up to date with the latest research in AI/ML and incorporate relevant advancements.
  • Maintain and monitor deployed models to ensure accuracy and reliability over time.
  • Document processes, experiments, and results for both technical and non-technical stakeholders.
  • Mentor junior team members and contribute to the technical growth of the AI/ML team.
  • Participate in code reviews, sprint planning, and collaborative development efforts.

Required Skills:

  • Strong understanding of supervised and unsupervised learning, deep learning, and data modeling techniques.
  • Familiarity with cloud platforms.
  • Experience with version control tools.
  • Knowledge of MLOps and deployment pipelines is a plus.
  • Proficiency in Python.
  • Leadership Skills

Qualifications and Experience:

  • Bachelor's degree in Computer Science or equivalent.
  • Minimum of 3 years of relevant experience.

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