Lead the design and development of machine learning systems and deep learning models.
Design and implement machine learning models using AWS services like SageMaker, Lambda, and EC2.
Drive the team's adoption of AWS best practices for machine learning and AI.
Run machine learning tests and experiments to ensure the robustness and reliability of models.
Implement appropriate ML algorithms and tools for various applications.
Study and transform data science prototypes into scalable solutions.
Lead initiatives to explore and implement General AI concepts within our cloud-based machine learning models.
Develop strategies to leverage Gen AI for creating adaptive and self-improving AI systems using cloud services.
Research and stay updated with the latest machine learning and cloud services developments.
Collaborate with cross-functional teams to integrate machine learning models into cloud-based applications.
Provide mentorship and technical leadership to the AI / ML development team.
Ensure data governance, security, and compliance measures are in place for AI / ML platforms.
Optimize AI / ML workflows for performance, cost efficiency, and resource utilization.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Minimum of 8 years of experience in machine learning and AI.
Proven experience as an ML Technical Leader or similar role.
Strong machine learning, statistics, programming, and data science expertise.
Familiarity with cloud service platforms and machine learning frameworks.
Ability to manage multiple projects simultaneously and work under pressure.
Familiarity with cloud data storage, orchestration, and computation services.
Excellent leadership skills with the ability to manage and inspire a team.
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Lead • Cairo, Cairo Governorate, EG
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