AI/ML

Details:

Job Description

Responsibilities:

Support and Implement machine learning solutions on the Azure platform, integrating Azure DevOps CI/CD for streamlined deployment
Support and maintain AIML solutions with standard ITIL service management framework including enhancement and incident tickets
Support and maintain AIML solutions involving wider Azure OpenAI integration, model deployment, CICD pipelines, AIML workspaces and Vector databases such as Qdrant
Ensure compliance with data privacy and data security requirements and implement best practices for secure access and usage monitoring of the AIML services deployed
Collaborate with data scientists, analysts, and wider D&A team to support and main day to day RUN operations in Advanced analytics/AIML area
Manage Azure AI/ML workspace, Azure Container Apps (ACA), Kubernetes services, and Identity and Access Management (IAM) for secure and efficient operations in collaboration with Infrastructure team
Manage the end-to-end machine learning lifecycle, ensuring continuous integration and delivery using Azure DevOps pipelines.

Qualifications/Experience Needs:

Bachelor"s degree in Computer Science, Information Technology, or a related field.
Experience in supporting Azure cloud-based infrastructure
Knowledge of machine learning concepts and familiarity with Azure ML operations (MLOps).
Background in machine learning, data analysis, and programming.
Knowledge of Python and SQL, and experience with Azure DevOps CI/CD practices.
Experience developing solutions using REST APIs and SDKs.
Working Knowledge of Azure Cognitive Services, Azure Machine Learning, Azure Devops CICD development, knowledge mining, and Azure OpenAI, natural language processing, speech, computer vision, and conversational AI etc.

Certification/Preferred Requirements:

Primary Microsoft Certified: Azure AI Engineer Associate
Secondary Preference Advantageous- work experience as Azure DevOps Engineer or Azure Admin Associate equivalent experience

Job Requirements

Certification/Preferred Requirements:

Primary Microsoft Certified: Azure AI Engineer Associate
Secondary Preference Advantageous- work experience as Azure DevOps Engineer or Azure Admin Associate equivalent experience

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