Simpliigence - MLOps Engineer - Azure Kubernetes Service

<p><p><b>MLOps Engineer :</b><br/><br/><b>Responsibilities :</b><br/><br/></p><p>- Architect & Deploy: Design and manage scalable ML infrastructure on Azure (AKS), leveraging Infrastructure as Code principles.<br/><br/></p><p>- Automate & Accelerate: Build and optimize CI/CD pipelines with GitHub Actions for seamless software, data, and model delivery.<br/><br/></p><p>- Engineer Performance: Develop efficient and reliable data pipelines using Python and distributed computing frameworks.<br/><br/></p><p>- Ensure Reliability: Implement solutions for deploying and maintaining ML models in production.<br/><br/></p><p>- Collaborate & Innovate: Partner with data scientists and engineers to continuously enhance existing MLOps capabilities.<br/><br/><b>Expertise :</b><br/><br/></p><p>- Azure & AKS: Deep hands-on experience.<br/><br/></p><p>- IaC & CI/CD: Mastery of Terraform/Bicep & GitHub Actions.<br/><br/></p><p>- Data Engineering: Advanced Python & Spark for complex pipelines.<br/><br/></p><p>- ML Operations: Proven ability in model serving & monitoring.<br/><br/></p><p>- Strong in powershell and Yaml.<br/><br/></p><p>- Problem Solver: Adept at navigating complex technical challenges and delivering solutions.<br/><br/><b>Required Exp :</b> 6+years/Job Location (ref:hirist.tech)