Job Description
Job purpose
As an MLOps Engineer, you will be responsible for building and maintaining scalable, secure, and automated AI systems on the Azure cloud platform. You will enable seamless deployment, monitoring, and lifecycle management of AI models and services using Azure AI capabilities, ensuring reliability and compliance across environments. Your contributions will have a direct impact on our ability to deliver innovative solutions and drive business growth. You will combine your machine learning, software, and data engineering skills to design, develop, and deploy AI systems that solve business problems and provide value directly to our business unit and customers. This role involves collaborating with data scientists and engineering teams to implement CI/CD pipelines for AI, optimize workflows, and drive operational excellence for enterprise-grade AI solutions.
Responsibilities and activities
Core Activities
Design, implement, and maintain MLOps pipelines for AI/ML asset...
As an MLOps Engineer, you will be responsible for building and maintaining scalable, secure, and automated AI systems on the Azure cloud platform. You will enable seamless deployment, monitoring, and lifecycle management of AI models and services using Azure AI capabilities, ensuring reliability and compliance across environments. Your contributions will have a direct impact on our ability to deliver innovative solutions and drive business growth. You will combine your machine learning, software, and data engineering skills to design, develop, and deploy AI systems that solve business problems and provide value directly to our business unit and customers. This role involves collaborating with data scientists and engineering teams to implement CI/CD pipelines for AI, optimize workflows, and drive operational excellence for enterprise-grade AI solutions.
Responsibilities and activities
Core Activities
Design, implement, and maintain MLOps pipelines for AI/ML asset...
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