DevOps Engineer

  • Gurugram
  • Rsa India (an Intact Company)
Azure Devops Engineer: Role Requirement: An Azure DevOps engineer with at least 2- 3 years’ experience in developing, running, and maintaining Azure DevOps pipelines. Experience with Azure ML and MLOps Engineering for deployment of Machine Learning models. Experience in working in a complex environment running enterprise DevOps and/or MLOps solutions on the Azure Cloud, ideally focussed on AzureML technologies, tooling and working practises. Experience of DevOps/MLOps transformation and CI/CD implementation in a heterogeneous and large-scale technology landscape. A solid foundation of experience with DevOps within the Azure A solid understanding and demonstrated experience with AzureML, Containerisation, WebApps Kubernetes, Cognitive Services and other MLOps tools. Skills and Experience: AzureML platform and associated services for development and deployment of Machine Learning Models – Experienced Python, Javascript – Expert Terraform – Experienced ARM/BICEP – Experienced Azure DevOps tooling, setup, and deployments - Experienced MLOps processes, culture, and tools – Experienced Azure Cloud infrastructure, design and security - Experienced Continuous integration and continuous delivery pipelines development – Experienced Infrastructure as code, release orchestration tools, observability tools - Experienced Solid experience working in Agile environment – Experienced Application integration, API0s – Experienced Key Accountabilities: Accountable for the successful deployment, resilience, and reliability of the analytics models. Accountable for the infrastructure and engineering required to support the development, deployment and support of analytical models in AzureML. Support for the tools and platform used to develop and deploy analytical models within Azure and RSA in general. Building on or DevOps/MLOps foundation to deliver an enterprise-wide machine learning capability based on AzureML, and other Azure services, including Cognitive Services. Define and implement DevOps & MLOps best practices Define MLOps tools strategy for Release Orchestration, CI/CD Pipelines etc. Collaborate with teams to synchronise CI/CD activities with DevOps, Data Scientists and Data Engineers. Coordinate with and support projects and programmes by executing environment creation, integration, and management activities. Working across teams from a number of suppliers (including IT Provision, system development, business units and programme management). Contribute to technology roadmap and cloud analytics strategy Change and deployment management for all analytics assets that are hosted on our cloud estate Continuous improvement and transformation initiatives for MLOps / DevOps in RSA Our Values: Integrity - Be honest, open and fair. Set high standards. Stand up for what is right. Respect - Be kind. See diversity as a strength. Be inclusive and collaborate. Customer Driven - Listen to our customers. Make it easy, find solutions. Deliver second-to-none experiences. Excellence - Act with discipline and drive to outperform. Embrace change, improve every day. Celebrate success yet remain humble. Generosity - Help others. Protect the environment. Make our communities more resilient. If this opportunity excites you, please send us your CV on india.jobs@gcc.rsagroup.com