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100-499 Employees · Other Business Support Services
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Job description

Publication date : Jan 19, 2026, 9:14AM



Purpose of the job



This role is responsible for leading the development and implementation of advanced analytics, machine learning models, and data driven solutions to drive business insights and strategic decision-making. It involves designing and optimizing predictive models, uncovering patterns in large datasets, and collaborating with cross-functional teams to enhance data-driven decision making.



Duties and responsibilities



  1. Lead AI/ML initiatives, driving innovation and strategic alignment with business objectives.
  2. Develop, architect and optimize large-scale deep learning and generative AI solutions.
  3. Build robust pipelines for continuous model deployment, monitoring, and governance.
  4. Research and implement cutting-edge AI advancements
  5. Mentor and guide junior and mid-level data scientists, fostering a culture of innovation.

Job specification



Education



Bachelors degree in Computer Science, Engineering or Statistics.



Skills and Abilities



  • Fluent English and Arabic is a must
  • Ability to work in a fast-paced, dynamic environment, handling multiple concurrent
  • Detail-oriented and process oriented.
  • Flexibility in dealing with people with diverse working styles
  • Analytical Mindset
  • Business Acumen
  • Solid experience in classical ML modelling
  • Solid experience in deep learning architectures.
  • Experience in Generative AI (LLMs, GANs, diffusion models..etc)
  • Knowledge in MLOps, including model drift detection, and scaling ML systems.
  • Leadership skills with experience in managing business stakeholders and projects
  • Experience with SQL
  • 4+ years of experience in AI, machine learning, and deep learning is preferred
  • Experience with reinforcement learning and foundation models is a plus
  • Contributions to AI research, patents, or open-source projects is a plus

Only your skills matter



Regardless of your age, gender, origin, religion, sexual orientation, neurodiversity, disability, or appearance, we actively encourage diversity within our teams, as it is both a collective strength and a driver of innovation. Orange is a disability-friendly company: please feel free to let us know about any specific needs you may have.




This job post has been translated by AI and may contain minor differences or errors.

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