Merck KGaA
Senior Cloud Engineer for AI-ML Services
Job Description
We seek a highly skilled Senior Cloud Engineer to join our AI & Machine Learning team. The ideal candidate will be pivotal in designing, deploying, and optimizing cloud services that power cutting-edge AI-ML products' backends. You will work closely with cross-functional teams to ensure the infrastructure is robust, scalable, and secure, enabling seamless deployment and monitoring of AI-ML products. Required Skills Atleast 5 years of experience in design, deployment, and operations of Cloud-based services (AWS preferred) supporting applications in Data & Analytics and/or AI Hands-on experience with AWS ECS or EKS for managing and scaling containerized applicationsExperience with Dockers for creating, managing, and optimizing container imagesExperience implementing IaC (Terraform [preferred], Cloudformation) for AWS cloud resource provisioningExperience with version control in general and specifically Azure DevOps for CI/CD pipelinesExperience creating and managing streaming services such as Kafka (native or managed services offered by Cloud providers)Experience with AWS networking including VPC, private endpoint, subnet, etc.,Experience managing security aspects such as SSL, TLS, etc.,Experience with authentication methods such as JWT, LDAP, OAuth, etc.Familiarity with working in collaboration with Data Scientists or AI-ML Engineers for deploying Machine Learning models as APIs leveraging GPUs/CPUs, and their performance monitoring, scaling, and troubleshooting is a plus.Hands-on experience managing and administrating Azure services preferably with a focus on AI-ML-related services is a plus.Experience with test management and load-testing frameworks is a plus.Good communication skills.
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