Teams at Müller's Solutions

Plan, execute, and deliver IT projects from initiation to closure. Define scope, timelines, budgets, resources; manage stakeholders, risks, schedules, and vendors. Monitor performance, ensure governance and quality, support change management and cross-functional collaboration.

The AI Infrastructure & MLOps Engineer will manage AI infrastructure, implement MLOps workflows, and advise customers on AI deployment.

The role involves auditing capital projects for compliance, evaluating performance, identifying risks, and recommending improvements. It requires collaboration with management and monitoring corrective actions.