ml engineer for Data & AI

Orange Business helps organizations turn technology into concrete business value. Its Data & Digital practice supports digital transformation across Cloud, Customer Experience, and Data & AI, while the Dutch Data & AI team helps clients move from ambition and use case through architecture, development, implementation, and adoption.

• Translate business problems into AI use cases with clients and determine when AI is the right solution;
• Design prototypes and develop them into reliable applications suitable for production use;
• Build GenAI applications using LLMs, RAG, agents, tool calling, and modern AI workflows;
• Integrate AI solutions with existing data, APIs, applications, and business processes;
• Design scalable cloud architectures for AI applications;
• Share knowledge within Orange Business and contribute to the development of the Data & AI proposition.

• Experience developing AI solutions as an AI Engineer, ML Engineer, Data Scientist, or in a comparable role;
• Strong Python skills and an understanding of reliable and maintainable code;
• Understanding of how to move AI solutions beyond experiments or notebooks into production environments;
• Ability to collaborate with clients and colleagues, explain technical choices to people from different backgrounds, and ask critical questions;
• Curiosity, willingness to try new technologies, and readiness to share knowledge;
• Relevant practical experience is valued at least as highly as formal education;
• Nice to have: A bachelor’s or master’s degree in Computer Science, AI, Data Science, Mathematics, Econometrics, or a comparable field.

• Hybrid work from home, the Amsterdam office, and client locations;
• Significant opportunities for technical and personal development;
• Access to a broad European and international community of Data, AI, and Cloud experts;
• Opportunities to experiment, share knowledge, and contribute to the AI proposition;
• Mobility allowance or lease car;
• Market-conform salary based on engineering experience, autonomy, responsibility in client projects, and consulting experience;
• Bonus scheme, pension, and other secondary benefits.