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Orange

Global telecommunications provider delivering mobile services

Data Business Analyst & Adoption Lead

Platform EngineeringUpdated on Nov 5
Full-timeCasablanca, MoroccoNo salary listed

About the Job

Requirements

  • Between 3 and 5 years of professional experience in a relevant technical role such as platform engineering, DevOps engineering, data/ML engineering, or software engineering.
  • A Bachelor's or Master's degree, or equivalent, in computer science, engineering, or a related field.
  • Knowledge of cloud environments such as AWS, Azure, or GCP and their managed services for data and AI.
  • Production experience with containers and orchestration, including Docker and Kubernetes.
  • Hands-on experience with CI/CD and DevOps practices, Git, pipelines, infrastructure as code such as Terraform or Ansible, and monitoring/logging tools.
  • Familiarity with AI and machine learning concepts and tools, including Python-based ML stacks, model-serving frameworks, and MLOps tools.
  • Understanding of security, reliability, and performance considerations for production platforms.
  • Ability to collaborate with data scientists, engineers, and operations teams; take ownership of problems, propose solutions, and iterate in an agile way.

Responsibilities

  • Contribute to the design, deployment, and operation of AI platforms, ensuring reliability, scalability, and security in production environments.
  • 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 (MLOps).
  • Automate and standardize platform services, including templates, CI/CD, and infrastructure as code, to accelerate delivery while maintaining quality.
  • Participate in incident analysis and continuous improvement of the AI platform, contributing to reliability and performance.
  • Contribute to rolling out AI platform features such as GPU-based training environments, feature stores, or model registries.
  • Participate in migrations to new cloud services or AI frameworks in collaboration with architecture and security teams.
  • Participate in internal communities of practice, technical talks, or proof-of-concept projects involving emerging AI technologies.

About the Company

Orange

Global telecommunications provider delivering mobile services

Orange is a global telecommunications company providing mobile, fixed-line, and internet services to millions of customers. Its products work by running cellular networks, fixed broadband, and digital services that let people make calls, send messages, browse the web, and use apps on smartphones and other devices; brands like Orange are used across services and regions to offer plans, data, roaming, and customer support. The company differentiates itself through its long history of growth via strategic acquisitions and a single, unified global brand, giving it a broad European and international footprint with integrated mobile, fixed-line, and digital offerings. Its goal is to connect people and businesses worldwide by delivering reliable communications and digital services while expanding its network reach and continuing to evolve in the telecom landscape.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1988

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