Education:
– Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field 
– Relevant certifications in data engineering or AI/cloud platforms (preferred)

Experience:
– 8+ years of experience in AI platform architecture, deployment, and optimization, ideally within large-scale telecom environments
– Strong background in designing enterprise-scale AI platforms integrating with IT and cloud environments
– Hands on experience in AI platform development, API management, or MLOps practice
– Experience of working in a dynamic, fast-paced environment 

Skills:
– Proficiency in AI and machine learning frameworks (TensorFlow, PyTorch, Keras)
– Proficient with public cloud platforms (AWS, Azure, Google Cloud) for AI and telecom solutions
– Experience in containerization and orchestration tools (e.g. : Docker, Kubernetes) for AI deployment
– Strong understanding of telecom networks (5G, IoT, edge computing) and how AI can optimize them
– In-depth Knowledge of security protocols in AI and telecom, including data privacy, encryption, and secure access management