MLOps Engineer

Lead 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+yrs/Job Location Bangalore,Pune,Gurugram

Please share an updated profile to

kavitha@simpliigence.com

74839 25904