Platform Lead - ML Ops

Job summary

Ana*** is seeking a Platform Lead to manage ML Ops infrastructure and deployment strategies while leading a team of DevOps engineers. The role involves building and securing platforms for machine learning and generative AI models, with a focus on cost optimization and financial accountability.

Qualifications

• Extensive background in Kubernetes, Docker, and service meshes
• Expert knowledge of Terraform, Ansible, Jenkins, or GitHub Actions
• Proficient in Python, Bash, or Go
• Familiarity with Triton Inference Server, vLLM, or Hugging Face TGI

Responsibilities

• Lead and manage a dedicated DevOps team
• Define the infrastructure roadmap for AI/ML workloads
• Architect and optimise MLOps/LLMOps pipelines
• Deploy Large Language Models into production environments
• Establish FinOps frameworks for AI infrastructure spend
• Implement auto-scaling and down-scaling policies
• Establish 24/7 incident response and observability metrics
• Enforce data governance and platform security protocols

Skills

Relocation