Détails de l'annonce Poste proposé : Specialist Enterprise ArchitectureResponsibilities : Use case evaluation: Analyze feasibility, impact, and potential of AI/ML and digitalization solutions for diverse business needs, considering technical constraints and strategic alignment. Evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish user requests from the underlying true needs. Solution design and architecture: Design and architect technically sound, cost-effective, and scalable ICT solutions, ensuring integration with existing infrastructure and adherence to software best practices. Technical documentation and communication: Create clear and concise technical documentation for designed solutions, effectively communicate technical concepts to non-technical stakeholders, and present proposals to key decision-makers. Project management and collaboration: Lead or actively participate in ICT project teams, collaborating effectively with developers, business analysts, and other stakeholders to ensure successful implementation and delivery. Acts as a main POC between business customers and IT/TECH units about ICT requirement, designs and deliveries provided to MTN external and internal customers. Continual learning and improvement: Stay updated on the latest AI/ML and digitalization trends, attend relevant conferences and workshops, and share your knowledge through internal training programs to foster innovation within the team. Profil recherché pour le poste : Specialist Enterprise Architecture Education / Business Degree : Bachelor’s degree in computer science, Information Technology, or a related field from a reputable institution. Master's degree preferred, but not mandatory. Training/Certification : Business Architecture Design Requirements Analysis Root cause analysis techniques Finance for non-financial Employee Effectiveness Emotional Inteliigence ICT Basics Project Management Digital Transformation Overview Cloud Computing Overview Familiarity with popular AI/ML technologies and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Understanding of RPA solutions and platforms (e.g., UiPath, Blue Prism). Cloud computing Certification: Azure (preferred AZ-900, MS-900), AWS, GCP. AI/ML Certification on cloud solution: Azure (preferred AI-900, DP-900), …