PpAre you passionate about #AI or #cybersecurity? You love working with high profile teams with a sure taste for challenge and variety? You dream to join a fast-growing company with start-up mentality? Eager to learn continuously? Join Proximus Ada! Within Proximus' centre of excellence for AI and Cybersecurity, a team of data scientists, data engineers and analytics translators, supports the Proximus group in designing, developing and deploying internal AI-driven applications in line with the business needs. /p h3Responsibilities /h3 ul liDevelop AI applications using state-of-the-art (Gen)AI technology. /li liTranslate business requests into AI applications. /li liPilot prototypes in production processes to demonstrate their value. /li liDeploy prototypes to production to obtain reliable, scalable systems. /li liPresent your results in a clear manner and discuss them with multi-functional project teams. /li liWork in close collaboration with business experts (e.g. for requirement gathering, data source identification, data and process understanding, feature engineering, result validation, etc.), and with other AI engineers in the team (e.g.forknowledgesharing). /li /ul h3Profile /h3 ul liPhD or Master's degree in Artificial Intelligence, Computer Science, Engineering, or a related technical field. /li liProven experience (2+ years) in AI/ML engineering with a strong focus on deploying and integrating AI. /li /ul h3Technical Skills /h3 ul liStrong expertise in Python /li liStrong knowledge of state-of-the-art AI and statistical methods /li liProven proficiency with deploying scalable AI applications to production /li liExperience using LLM's and commonly used libraries to interact with LLM's (Langchain, Llamaindex, ...) /li liHands-on experience with Azure Cloud, and Azure Data AI services /li liStrong expertise with version control (Git, GitHub) /li liExpertise with CI/CD pipelines, and modern software development best practices /li liExperience with Agentic AI frameworks (Langgraph, AutoGen, CrewAI, ...) is a big plus /li liExperience with MLOps tools and frameworks (g. MLflow, Kubeflow, TFX) is a big plus /li /ul h3Attitudes/Behavior /h3 ul liExcellent problem-solving skills. /li liCollaboration: Strong interpersonal skills to work effectively with diverse stakeholders from data science, engineering, and business units. /li liExcellence: Strong commitment to excellence by consistently striving for high-quality outcomes, embracing continuous improvement, and maintaining a proactive, detail-oriented approach in all tasks. /li liInnovation Mindset: Willingness to explore new technologies and methodologies to drive continuous improvement. /li liResilience: Capacity to troubleshoot and resolve issues in complex changing environments while maintaining a focus on quality and user experience. /li liCommunication: Ability to convey complex technical concepts to non-technical audiences and provide clear documentation. /li /ul h3Languages /h3 ul liFluent in English + French and/or Dutch /li /ul /p #J-18808-Ljbffr