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Location
Remote (Egypt)
Seniority
Junior
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Nov 2, 2026. Blackstone eIT scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Blackstone eIT is a Jordanian technology company that builds enterprise software, artificial intelligence and automation systems for government and corporate clients across the Middle East. Its work covers custom application development, systems integration, robotic process automation, data platforms and increasingly applied artificial intelligence, with a substantial share of revenue from public sector digital transformation programmes in Jordan and the Gulf. Headquartered in Amman, it recruits engineers across the Jordanian market and supplies delivery teams to clients elsewhere in the region where local technical capacity is thinner.

BlackStone eIT is looking for a skilled AI Engineer to join our innovative team.

As an AI Engineer, you will design, develop, and implement AI solutions that address complex business challenges. You’ll work closely with data scientists, engineers, and stakeholders to build scalable AI models and integrate them into our product offerings.

This is a great opportunity to contribute to cutting-edge AI projects and help drive the adoption of AI technologies across our organization. You’ll be involved in every stage of the AI project lifecycle, from data collection and preprocessing to model training, deployment, and monitoring.

Requirements

2+ years of experience in AI or machine learning engineering roles

Proficiency in Python and experience with libraries like TensorFlow, PyTorch, or Scikit-learn

Knowledge of AI model deployment and monitoring best practices

Understanding of data processing, feature engineering, and model evaluation techniques

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Strong problem-solving abilities and excellent communication skills

Nice to have:

⭐ Experience with cloud platforms (AWS, Azure, or GCP)

⭐ Familiarity with containerization tools such as Docker

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