IFS
Skills: CI/CD
Role Overview
As a DevOps Engineer - AI Platform & MLOps, you will be responsible for designing, implementing, and managing the cloud infrastructure, CI/CD pipelines, deployment automation, and operational excellence practices that support AI and machine learning solutions. You will work closely with AI Engineers, Data Scientists, Solution Architects, and Platform Engineers to ensure AI services are secure, scalable, reliable, and production-ready.
Key Responsibilities
AI Platform Engineering
Design, build, and maintain cloud-native infrastructure supporting AI workloads. Manage AI platform environments across development, test, UAT, and production. Implement Infrastructure as Code (IaC) using tools such as Terraform and Bicep. Optimize infrastructure performance, costs, resilience, and availability.
MLOps & Deployment Automation
Build and maintain CI/CD pipelines for AI and machine learning solutions. Automate model deployment, validation, testing, and rollback processes. Support model lifecycle management, versioning, monitoring, and governance. Enable automated retraining and deployment workflows where required.
Cloud & Security
Implement security best practices across AI environments. Manage identities, secrets, certificates, and access controls. Ensure compliance with organizational security and governance standards. Conduct vulnerability remediation and platform hardening activities.
Platform Reliability & Operations
Establish monitoring, alerting, logging, and observability frameworks. Troubleshoot production incidents and perform root-cause analysis. Define and monitor platform SLAs, SLOs, and operational metrics. Drive continuous improvement of platform stability and performance.
Collaboration & Engineering Excellence
Partner with AI Engineers and Solution Architects to operationalize AI solutions. Support production releases and deployment readiness reviews. Contribute to platform standards, reusable templates, …truncated… ps.
IFS(https://himalayas.app/companies/ifs) i…
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