Description

You will lead the development and implementation of an enterprise AI architecture strategy.

Responsibilities

• Design, train, and deploy ML models for network optimization and operational analytics.
• Build real-time data processing frameworks for high-volume streaming analytics.
• Integrate AI/ML services into OSS/BSS platforms for automated decision-making.
• Architect AI solutions for enterprise network slices using edge and cloud-native principles.
• Establish governance and best practices for model lifecycle management and compliance.

Required Skills

• Master's degree in Computer Science, AI/ML, or related technical discipline.
• 10+ years of AI/ML development experience, including 5+ in telecom/mobile networks.
• Deep expertise in enterprise architectures and edge/cloud-native deployments.
• Proficiency with TensorFlow, PyTorch, Scikit-learn, Kafka, Spark, and Hadoop.
• Experience with AI/ML platforms (AWS, etc.).
• Strong understanding of network protocols, OSS/BSS systems, and real-time analytics.
• Demonstrated leadership in architecting and delivering large-scale AI programs.
• Excellent stakeholder management and cross-team collaboration skills.

Key Skills

Education

Master's degree