Junior AI Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇪🇬 Egypt – Remote

⏰ Full Time

🟢 Junior

🤖 AI Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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BlackStone eIT

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

BlackStone eIT is a global technology company specializing in transformative enterprise solutions and intelligent design. The company offers a wide range of innovative products and services, including augmented reality, blockchain, intelligent chatbots, emotion scanning, optical character recognition, robotics, facial and object recognition, and smart analytics. With a strong focus on digital innovation, BlackStone eIT provides customized solutions such as Arabic NLP engines, digital workplaces, facial attendance tracking, and schedulers. They aim to drive significant impact for forward-thinking brands through their expertise in cutting-edge technologies and exceptional user experiences. BlackStone eIT operates in various sectors, enhancing business efficiency and customer engagement worldwide.

📋 Description

• Design, develop, and implement AI solutions addressing complex business challenges • Work with data scientists, engineers, and stakeholders to build scalable AI models • Integrate AI models into product offerings • Contribute to cutting-edge AI projects and drive adoption of AI technologies across the organization • Participate in all stages 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 • Experience with cloud platforms (AWS, Azure, or GCP) (nice to have) • Familiarity with containerization tools such as Docker (nice to have)

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