AI Platform Engineer

5 months ago

Cairo, EgyptMid Level / Senior

Responsibilities

Design, deploy, and operate reliable, scalable, and secure AI platforms in production.
Work with data scientists, data engineers, and infrastructure teams to industrialize AI use cases on cloud and hybrid platforms.
Implement and maintain tooling and pipelines for model training, evaluation, deployment, and monitoring.
Automate and standardize platform services using templates, CI/CD, and infrastructure as code.
Participate in incident analysis, platform reliability improvements, and performance optimization.
Support GPU-based training environments, feature stores, model registries, cloud migrations, AI framework migrations, and proof-of-concept projects.

3–5 years of professional experience in a relevant technical role such as platform engineering, DevOps engineering, data or ML engineering, or software engineering.
Bachelor’s or Master’s degree, or equivalent, in computer science, engineering, or a related field.
Good knowledge of AWS, Azure, or GCP and their managed data and AI services.
Solid production experience with Docker and Kubernetes.
Hands-on experience with Git, CI/CD pipelines, infrastructure as code such as Terraform or Ansible, and monitoring or logging tools.
Familiarity with AI and ML concepts, Python-based ML stacks, model-serving frameworks, and MLOps tools.
Understanding of security, reliability, and performance considerations for production platforms.
Strong collaboration, communication, ownership, curiosity, adaptability, and willingness to learn.

Flexible working hours and hybrid work combining office and home.
Training programs and upskilling or reskilling opportunities.
Internal career growth and mobility opportunities within Orange.
Health and well-being programs, diversity and inclusion initiatives, CSR activities, and employee events.
Employee Referral Program and Change Maker Awards.
Opportunities to work with multinational teams, colleagues, and customers worldwide.

10,000+ employees