Software Engineer 2

AI is the strategic bet for Microsoft. The Azure AI Platform is right at the front end. Our project involves cutting edge technologies and problems. Joining the projects you will gain knowledge and experience about generative AI, large language model, transformers, GPU optimization, AI applications, etc. The AI business is also growing rapidly, and our products will directly face the impact of the large number of customers, which is continuously growing.

Within the AI Platform, the Azure ML team enables data scientists and developers to build quickly and easily, train, deploy, manage, and consume machine learning models.

The Models as a Service team is hiring Software Engineer. The team designs, builds, and operates the largest scale engineering system in the industry for Large Language Models and GenAI Models. Key areas that we are working on 

1. Building and Scaling our Inferencing Cloud across our flagships AOAI Service and growing the Model as A Service model Families.  
2. Expand the Gen AI Model Offerings to more model providers, to the  best and latest offerings.  
3. To provide a unified experience across AOAI and MAAS/MAAP for Azure AI customers

Required Qualifications:

• Bachelor’s degree in computer science, or related technical discipline, AND 

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python or equivalent experience.

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Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Responsibilities:

• Collaborate with appropriate stakeholders (e.g., project manager, technical lead) to determine user requirements. 

• Participate in discussions on the architecture of products/solutions. 

• Produce extensible and maintainable code. Apply debugging tools and examines logs to verify assumptions through writing and developing code. 

• Respond, resolve, and integrate customer feedback with agility and dedication.