Telecom AI/ML Architect Leader
2 hours ago
We are seeking a seasoned Telecom AI/ML Architect Leader to drive innovation, design, and architecture in telecom. The ideal candidate will have extensive experience in telecom infrastructure, digital transformation, and modern architectures, leveraging AI/ML to optimize telecom processes and services.
Key Responsibilities:- Architectural Strategy & Leadership:
- Lead the development of end-to-end architecture for next-gen and AI/ML solutions in telecom.
- Define the strategic roadmap for AI/ML adoption within enterprise architecture aligned with business goals.
- Drive digital transformation initiatives by introducing AI/ML frameworks to enhance operational efficiencies and customer experience.
- Solution Design & Integration:
- Develop comprehensive AI/ML-based architecture solutions that integrate with existing telecom infrastructure.
- Ensure seamless integration of AI models for areas like predictive maintenance, network optimization, and customer analytics.
- Collaborate with cross-functional teams to implement scalable and reliable architectures that support telecom services.
- Technology & Data Strategy:
- Define data architecture for effective use of data in AI/ML models, ensuring data governance and security.
- Lead the adoption of advanced AI/ML platforms and tools, facilitating data ingestion, model training, deployment, and monitoring.
- Recommend cloud and hybrid deployment strategies to support large-scale telecom operations.
- Innovation & Next-Gen Technologies:
- Stay abreast of industry trends in AI/ML, 5G, IoT, and network virtualization to proactively suggest advancements.
- Identify opportunities to implement automation, real-time analytics, and machine learning to solve complex telecom challenges.
- Leadership & Stakeholder Engagement:
- Provide architectural guidance to executive teams on strategic decisions involving AI/ML technology investments.
- Mentor junior architects, engineers, and other technical staff to build a robust team aligned with the organization's vision.
- Engage with vendors and technology partners to align technology solutions with business requirements.
- Technical Expertise:
- Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
- Proficiency in cloud platforms (AWS, Azure, GCP) and experience with edge computing.
- Knowledge of data architectures, big data technologies, and orchestration tools.
- Experience with 5G, IoT, network virtualization (NFV/SDN), and network automation.
- Proven record of implementing AI/ML in a telecom environment, focusing on network optimization, predictive maintenance, and customer personalization.
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