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DevOps Engineer
3 months ago
Azure Devops Engineer:
Role Requirement:
- An Azure DevOps engineer with at least 5-7 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