AI/ML Engineer at Microsoft
Interview Preparation Plan
As an AI/ML Engineer at Microsoft, you will be at the forefront of developing and deploying innovative solutions that leverage artificial intelligence and machine learning to solve complex problems. This role involves designing, building, and optimizing machine learning models, developing data pipelines, and implementing AI agents to enhance product functionality and user experiences. You will work across various Microsoft products and services, including Azure, to create intelligent systems that improve decision-making, automate tasks, and drive business value. The role requires a blend of strong software engineering skills, deep understanding of AI/ML algorithms, and the ability to collaborate effectively with cross-functional teams to bring cutting-edge AI technologies to life. This position often involves working on specific teams and projects, such as those within Azure Resource Graph or the development of AI agents for products like Copilot. You'll be responsible for the end-to-end lifecycle of machine learning models, from data acquisition and preprocessing to model training, evaluation, and deployment. A key aspect of this role is staying abreast of the latest advancements in AI and ML, and applying this knowledge to innovate and enhance Microsoft's offerings. You will also play a crucial part in ensuring the reliability, scalability, and efficiency of AI systems, adhering to best practices and coding standards.
Key Responsibilities
- Design, develop, and deploy machine learning models and AI solutions using Microsoft Azure services.
- Build and maintain scalable data pipelines and ML infrastructure.
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