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AI Team Lead

7 hours, 28 minutes ago
Egypt
Full-time
Lead
Machine Learning Engineer
Artificial Intelligence and Machine Learning
Azure BERT CI/CD Deep Learning Docker GPT Hugging Face Kubernetes Machine Learning MLflow NLP OpenCV Python PyTorch TensorFlow Transformers
Apply Now
BlackStone eIT

BlackStone eIT

Blackstone eIT is a global company that provides innovative AI solutions to automate and digitally transform human and information-intensive processes. Their offerings include machine learning, natural language processing, and computer vision to enable...

Internet Software & Services
51-250
Founded 2014
View All Jobs 16

Description

  • Lead the AI team in designing, developing, and implementing AI models and systems.
  • Collaborate with stakeholders to identify AI opportunities that drive business value.
  • Guide the team in using machine learning frameworks and tools effectively.
  • Oversee the full project lifecycle from research and prototyping through production deployment.
  • Maintain up-to-date knowledge of trends and advancements in AI and machine learning.
  • Establish best practices and promote a culture of continuous improvement and innovation.

Requirements

  • 6+ years of hands-on experience in Machine Learning, Deep Learning, or AI Engineering.
  • 3+ years of experience in a technical leadership or mentoring role.
  • Expert-level proficiency in Python and deep learning frameworks, with PyTorch strongly preferred or TensorFlow accepted.
  • Extensive hands-on experience with Microsoft Azure, including Azure ML workspace, MLflow, Docker, Kubernetes, and training/deployment pipelines.
  • Deep understanding of modern NLP architectures such as Transformers, BERT, and GPT variants.
  • Experience with tokenization, vector databases, and tools such as Hugging Face and LangChain/LangGraph.
  • Strong mathematical foundation in image processing and experience building custom Computer Vision models using OpenCV, YOLO architectures, and PyTorch Vision.
  • Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.
  • Experience building and deploying autonomous AI agents using tools such as LangChain, LangGraph, and Crew AI.
  • Background in edge deployment for Computer Vision models using TensorRT and ONNX.

Benefits

  • Paid time off.
  • Performance bonus.
  • Training and development opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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