About Us
Join us at Orange Business!
We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
About The Role
- Your day-to-day missions
- You contribute to the design, deployment and operation of AI platforms, ensuring reliability, scalability and security in production environments.
- You work closely with data scientists, data engineers and infrastructure teams to industrialize AI use cases on cloud and hybrid platforms.
- You implement and maintain the tooling and pipelines required for model training, evaluation, deployment and monitoring (MLOps).
- You help automate and standardize platform services (templates, CI/CD, infrastructure as code) to accelerate delivery while keeping quality high.
- You participate in incident analysis and continuous improvement of the AI platform, contributing to a strong reliability and performance culture.
- Occasional missions and example projects
- You may contribute to the rollout of new AI platform features (for example, GPU-based training environments, feature stores or model registries).
- You can be involved in migration projects to new cloud services or new AI frameworks, in collaboration with architecture and security teams.
- You may participate in internal communities of practice, tech talks or proof-of-concept projects around emerging AI technologies.
- Skills you will develop This position offers you the opportunity to deepen your expertise in AI platform engineering, from build to run. You will strengthen your skills in cloud environments, containerization, MLOps and observability, while gaining experience on real-life, large-scale AI use cases. You will also develop your ability to collaborate with cross-functional teams, translate data science needs into robust platform services, and grow your autonomy and technical leadership in an international and agile environment.
- Benefits of the role You will work at the heart of Orange Business AI platforms, contributing directly to projects that matter for our customers and internal stakeholders. You will evolve in a modern, cloud-centric environment, with access to cutting-edge AI and platform technologies. You will benefit from a flexible working environment and a culture that values continuous learning, knowledge sharing and innovation.
- Career perspectives In the medium term, this role can open up opportunities towards more senior positions such as Senior AI Platform Engineer, MLOps Lead or Platform Tech Lead. You will also be able to move towards roles focused on architecture or technical leadership on AI and data platforms, depending on your aspirations and strengths.
- The team You will join an international team combining diverse expertise in data, AI, cloud and platform engineering. You will work on visible and impactful projects, in an environment that encourages collaboration, technical excellence and mutual support. You will be surrounded by colleagues who are keen to share knowledge and help you grow.
About You
- Experience and education |You have between 3 and 5 years of professional experience in a relevant technical role (for example: platform engineer, DevOps engineer, data/ML engineer, software engineer) and hold at least a Bachelor's or Master's degree (or equivalent) in computer science, engineering or a related field.
- Your hard skills
- Good knowledge of cloud environments (AWS, Azure or GCP) and their managed services for data and AI.
- Solid experience with containers and orchestration (Docker, Kubernetes) in production contexts.
- Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools).
- Familiarity with AI and ML concepts and tools (for example Python-based ML stacks, model serving frameworks, MLOps tools) and a strong motivation to grow further in this area.
- Understanding of security, reliability and performance considerations for production platforms.
- Your soft skills You are a team player with good communication skills, able to collaborate smoothly with data scientists, engineers and operations teams. You show rigor, curiosity and a strong willingness to learn, especially in a fast-evolving AI and cloud ecosystem. You are comfortable taking ownership of problems, proposing solutions and iterating in an agile way. Your mindset combines pragmatism and a desire for quality, allowing you to deliver reliable services while continuously improving them.
You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
What We Offer
- Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
- Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
- Professional Development: training programs and upskilling/re-skilling opportunities.
- Career Growth: Internal growth and mobility opportunities within Orange.
- Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.
- Reward Programs: Employee Referral Program, Change Maker Awards.
Only Your Skills Matter
Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
