We are seeking a highly skilled AI engineers with Infra and support experience..
Responsibilities include but are not limited to:
Design, provision, configure, and maintain scalable AI infrastructure on AWS to support AI/ML applications across development, testing, and production environments.
• Deploy, manage, and troubleshoot AI/ML models, LLM applications, inference endpoints, and APIs in production environments.
• Implement monitoring, logging, alerting, and observability for AI applications using AWS CloudWatch and other monitoring tools to ensure system availability and performance.
• Provide L2/L3 production support for AI applications, investigate incidents, perform root cause analysis, and implement corrective and preventive actions.
• Manage cloud infrastructure provisioning and configuration using Terraform/Scalr, ensuring secure, consistent, and repeatable deployments.
• Troubleshoot infrastructure, application, networking, API integration, containerization, and model inference issues to minimize service disruptions.




• Implement and maintain CI/CD pipelines for automated AI application deployment, testing, version control, release management, and rollback procedures.
• Monitor AI workloads for latency, throughput, resource utilization, error rates, and operational costs, implementing performance and cost optimization measures.
• Support containerized AI applications using Docker and Kubernetes, including Amazon EKS/ECS, with a focus on scalability, availability, and reliability.
• Maintain operational runbooks, incident reports, support documentation, and disaster recovery procedures while collaborating with DevOps, platform, security, and application support teams to meet SLAs.

Required Skills
• Bachelor’s degree in computer science, Engineering, Data Science, Artificial Intelligence, or a related technical field.
• hands-on experience in Python and software development for AI, ML, data engineering, or cloud-based applications.
• experience in Machine

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