Anaplan
Platform Lead - MLOps
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About the Role
We are seeking a hands-on Platform Lead to head our MLOps infrastructure and lead a high-performing DevOps team. Collaborating closely with Data Science and Engineering leaders, you will define our AI/ML infrastructure roadmap, automate multi-cloud provisioning via Infrastructure as Code (IaC), and deploy Large Language Models (LLMs) into production. By architecting resilient LLMOps pipelines and utilising serving frameworks like Triton, vLLM, or Hugging Face TGI, you will guarantee ultra-low latency, high availability, and proactive model monitoring.
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Key Responsibilities
- Instil financial accountability by establishing robust FinOps frameworks to manage high-cost GPU/CPU cloud budgets.
- Eliminate compute waste and provide complete visibility into the unit economics of training and serving LLMs through auto-scaling, strategic spot instances, and down-scaling policies.
- Enforce rigorous data governance, robust platform security, and 24/7 incident response.
- Ensure that our AI initiatives scale securely and sustainably.
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Collaboration
- Work closely with Data Science and Engineering leaders to define the AI/ML infrastructure roadmap.
Requirements
- Expertise in multi-cloud provisioning via Infrastructure as Code (IaC).
- Experience with deploying Large Language Models (LLMs) into production.
- Knowledge of LLMOps pipelines and serving frameworks like Triton, vLLM, or Hugging Face TGI.
- Strong understanding of cost-optimisation strategies and financial accountability in cloud infrastructure.
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