Role purpose
Lead the design, delivery and operation of robust, production-grade MLOps/AIOps capabilities that move Dyson’s ML, AI and GenAI/agent
systems from development into reliable production, and keep them healthy at scale.
Own and evolve the engineering patterns for CI/CD, cloud infrastructure, deployment, monitoring and lifecycle management, and set the
standards followed across the Data Science and AI estate
Role overview
• Combines hands-on engineering with technical leadership
• Leads deployment and operation of scalable ML and AI/agent systems
• Designs and runs CI/CD pipelines and cloud infrastructure
• Implements monitoring, logging, evaluation and lifecycle management
• Works closely with data science, AI engineering, platform, security and governance teams
• Ensures solutions are reliable, secure and compliant with organisational standards
• Mentors engineers and raises the bar for engineering practices across the team and drives continuous improvement
Key responsibilities
Build & Deploy
• Design, build and maintain CI/CD pipelines for ML, AI and agent systems




• Deploy and operate ML models and AI/agents in production (e.g. Cloud Run, containerised services)
• Develop containerisation and orchestration strategies
Platform & Infrastructure
• Architect and manage solutions on cloud infrastructure (GCP) and Infrastructure as Code (Terraform)
• Optimise infrastructure for performance, scalability and cost
• Define and evolve the MLOps/AIOps platform roadmap, aligning with AI, cloud and governance strategies
Observability & Quality
• Implement monitoring, logging and observability across performance, latency, errors and drift
• Build and run evaluation pipelines, regression testing and drift detection
Lifecycle & Reliability
• Manage model and agent lifecycle (versioning, rollout/rollback, retraining, decommissioning)
Own production reliability, incident response and on-call
Agent Systems
• Operate AI agent systems, including MCP-based integrations, ensur

📌 Lead Mlops Engineer (Bengaluru)
🏢 Dyson
📍 Bengaluru