MLOps Engineer

4 weeks ago

GurgaonGurugram, India Invokhr Full time

Job Description :


- 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

- Python, Javascript - Expert

- Terraform

- ARM/BICEP

- Azure DevOps tooling, setup, and deployments

- MLOps processes, culture, and tools

- Azure Cloud infrastructure, design and security

- Continuous integration and continuous delivery pipelines development

- Infrastructure as code, release orchestration tools, observability tools

- Solid experience working in Agile environment

- Application integration, API0s

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

(ref:hirist.tech)

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