Simpliigence - MLOps Engineer - Azure Kubernetes Service

MLOps Engineer :

Responsibilities :

- Architect & Deploy: Design and manage scalable ML infrastructure on Azure (AKS), leveraging Infrastructure as Code principles.

- Automate & Accelerate: Build and optimize CI/CD pipelines with GitHub Actions for seamless software, data, and model delivery.

- Engineer Performance: Develop efficient and reliable data pipelines using Python and distributed computing frameworks.

- Ensure Reliability: Implement solutions for deploying and maintaining ML models in production.

- Collaborate & Innovate: Partner with data scientists and engineers to continuously enhance existing MLOps capabilities.

Expertise :

- Azure & AKS: Deep hands-on experience.

- IaC & CI/CD: Mastery of Terraform/Bicep & GitHub Actions.

- Data Engineering: Advanced Python & Spark for complex pipelines.

- ML Operations: Proven ability in model serving & monitoring.

- Strong in powershell and Yaml.

- Problem Solver: Adept at navigating complex technical challenges and delivering solutions.

Required Exp : 6+years/Job Location Bangalore,Pune,Gurugram.