Our client is setting up a brand new AI/ML function and within this capability, we are looking for a Azure AI MLOps Engineer professional. The role is based within the IT department on the AI function.
Build, develop and deploy AI powered applications using Python and related frameworks
Utilise Python and other relevant programming languages to build intelligent applications on the Azure platform.
Design and develop Azure AI Services proficiently; Develop solutions using Azure AI Prompt Flow;
Setup and develop data ingestion pipelines and components; design and develop efficient ingestion methodologies
Developing search related components using Azure AI Search (Vector Store)
Developing and deploying AI/ML models on Azure technologies for business teams
Work closely with MLOps engineers to Integrate MLOps practices into the existing development lifecycle
Collaborate with AI Engineers, MLOps Engineers, Data Scientists and Business stakeholders to understand deployment, networking and security requirements in helping design effective AI solutions for the projects
Develop and test code, ensuring high quality, maintainability, and adherence to best practices.
Create and maintain secure and performant AI platform
Provide technical expertise in designing, developing and implementing the AI powered applications
Develop unit tests, automated regression packs and help setup model evaluation test packs
Build and maintain scalable, high-performance AI apps on Azure platform.
Provide technical expertise and support to troubleshoot and resolve AI-related issues and performance bottlenecks.
Stay current with industry trends and best practices in AI technology and recommend innovative solutions to enhance business operations.
Conduct thorough testing and validation of AI models to ensure accuracy and reliability.
Document and communicate AI solutions and recommendations to technical and non-technical stakeholders clearly and effectively.
Develop and implement automated testing frameworks for machine learning models to ensure their ongoing accuracy and reliability.
Document AI development processes and procedures for efficient knowledge transfer and maintainability.
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