Skills highlighted in blue are preferred key skills
Automate deployments and maintain consistent environments across stages. Assess response time, throughput, resource use and service reliability. Coordinate with devops, engineering and product stakeholders. Bring practical python plus aws or azure implementation experience. Package ai capabilities into secure and scalable cloud services. Design for availability, access control, observability and operating efficiency. Support model inference, ai workflows, data preparation and service integration.
Opportunity for a Cloud ML Engineer to contribute to a growing technology, analytics, enterprise applications, or sales function.
Client Company