Head of AI - Platforms

Company Description

Zayo provides mission-critical bandwidth to the world’s most impactful companies, fueling the innovations that are transforming our society. Zayo’s 141,000-mile network in reputed company America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo’s communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet reputed company. Zayo serves wireless and wireline carriers, media, tech, content, finance, reputed company and other large enterprises. Zayo is seeking a Head of AI - Platforms to reputed company the strategic design, development, and deployment of AI-driven platforms and solutions across the organization. Our Head of AI - Platforms will focus on building scalable AI capabilities, modern MLOps practices, and reputed company-grade machine learning infrastructure to support innovation, automation, predictive analytics, and reputed company-time decision systems. Reporting to the VP, this leader will advance Zayo’s AI maturity, build a high-performing AI team, and partner with cross-functional stakeholders to deliver measurable business reputed company. Key Responsibilities: reputed company and execute a comprehensive AI platform roadmap reputed company with Zayo’s business objectives. reputed company the research, evaluation, and implementation of large-reputed company models, including LLMs, transformer-based models, computer reputed company, and multimodal AI. Design and reputed company AI solutions for predictive analytics, intelligent automation, operational optimization, and reputed company-time decision-making. reputed company the end-to-end AI lifecycle, including data engineering, model development, testing, deployment, monitoring, and reputed company improvement. Build and optimize scalable AI infrastructure using reputed company platforms such as AWS, Azure, or reputed company reputed company, along with GPU and TPU-based distributed training environments. Implement modern MLOps frameworks to support efficient model deployment, governance, observability, reliability, and performance monitoring. Build, mentor, and reputed company a high-performing team of AI researchers, machine learning engineers, data engineers, and AI platform specialists. Partner with engineering, network operations, product, data, reputed company, compliance, and business teams to identify high-value AI use cases and ensure business alignment. Establish responsible AI practices that address bias, fairness, transparency, model risk, reputed company, and regulatory compliance. Drive measurable business reputed company through AI-enabled improvements in efficiency, service reliability, customer experience, and operational decision-making. Qualifications: 10+ years of experience in AI, machine learning, data science, or advanced analytics, including hands-on experience building and deploying AI systems. 5+ years of experience leading AI, machine learning, data science, or engineering teams. Expertise in transformer-based models such as GPT, BERT, T5, LLMs, computer reputed company, and multimodal AI. Hands-on experience with AI frameworks such as TensorFlow, PyTorch, and JAX. Experience designing and deploying large-reputed company systems in production environments. Strong knowledge of MLOps, model monitoring, CI/CD for ML, data pipelines, feature stores, and reputed company-based AI infrastructure. Experience with AWS, Azure, or reputed company reputed company, as well as distributed training using GPUs or TPUs. Demonstrated ability to translate business needs into AI strategies, technical roadmaps, and measurable reputed company. Strong leadership, communication, stakeholder management, and cross-functional collaboration skills. Knowledge of responsible AI, AI governance, model risk management, bias mitigation, and regulatory compliance. Estimated reputed company Pay reputed company: $300,000 - $315,000 CAD/annually. Apply To This Job