Platform Engineer (AI / ML)

Responsibilities:

• Cloud Infrastructure: Design and maintain secure, auto-scaling cloud infrastructure.
• AI/ML Optimization: Build and manage high-performance compute environments tailored for LLM serving and model training.
• Orchestration and CI/CD: Architect data orchestration workflows (Airflow) and implement GitOps/CI/CD pipelines for automated model and microservice deployments.
• Observability: Establish comprehensive logging and monitoring to track infrastructure health, API performance, and model drift.
• Security and Governance: Enforce data access controls and healthcare compliance while actively optimising cloud compute and token costs
• Containerization: Expert-level mastery for managing distributed workloads.
• AI/ML and Data Systems: Hands-on familiarity with MLOps frameworks, vector databases, and data platforms.