Overview

Date de publication : Mar 10, 2026, 12:00AM Orange Business is here!

Qualifications

• Good knowledge of math, probability, and statistics, and algorithms; Ability to write robust code in Popular AI Programming languages
• Ability to rapidly prototype and experiment with different models and algorithms
• Good understanding of the business context and the ability to translate business problems into AI/ML solutions
• Excellent communication and interpersonal skills
• Passionate for continuous learning and staying up-to-date with the latest trends and best practices in AI, Gen AI etc.
• Must have strong and proven experience in Machine learning and Deep learning techniques and use of popular AI/ML frameworks
• Must have good experience on various AI techniques: Machine learning, Generative AI and Agentic AI
• Solid experience and understanding of ML techniques such as: Data Preprocessing, Feature Engineering, Model selection, Hyperparameter Tuning, Validation, and Deployment
• Develop multi AI agents and RAG systems for real-time decision-making, integrating tools like LangChain, LlamaIndex, or custom frameworks.
• Good knowledge of math, probability, and statistics, and algorithms; Ability to write robust code in Popular AI Programming languages
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Must be able to implement AI applications by using and fine-tuning Large Language Models (LLMs)
• Hands on experience on Large Language Models (LLMs), text generation, or similar Generative AI applications
• Must have good communication and presentation skills
• Good to have: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Good to have: Experience working with Cloud platforms (e.g. GCP, AWS, Azure) for model deployment, AI services and operation
• Good to have: Working experience on a Python web framework (e.g. Flask/Django) would be a plus
• Optional: Work on AI/ML services on Cloud infrastructure and various cloud managed services
• You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.

Benefits

• 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.