MLOps Engineer

undefined 08-06-2023
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Pune, India
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MLOps Engineer

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Role & Responsibilities –

  • Responsible for design and implementation of secure and scalable infrastructure in Azure cloud.
  • Build and maintain CI/CD/CT pipeline across azure cloud platform for Data science projects.
  • Own and automate the infrastructure provisioning, demand forecasting and capacity planning
  • Build tools and automation to improve systems availability, reliability, performance, monitoring and scalability.
  • Setting up the alerts and monitoring for the platform.
  • Monitoring system, application health, security controls and cost
  • Envision, implement and rollout best MLOPs/DevOps tools and automation.


  • Hands on Experience in Azure DevOps practices and building release pipelines
  • Proficient in Azure Cloud practices and managing Azure Kubernetes Service deployments
  • Good to have Hands on experience in  Python or any other scripting languages (Groovy, Shell)
  • Experience in Databricks, MLFlow deployment pipeline will be an added advantage
  • Experience with monitoring tools like ELK, Prometheus, Grafana, App Insights etc
  • Hands-on experience in Docker, Kubernetes.
  • Excellent experience with source code management tools (git)
  • Good to have experience in implementing Data/Model drift.
  • Strive for Continuous Improvement and build continuous integration, continuous development and constant deployment pipeline
  • Excellent Troubleshooting skills
  • Always ready to learn more and adopt new cutting edge technology with right value proposition.
  • Good to have knowledge on Dataiku devops.