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Microsoft Software Engineer - Cloud Services Austria, Vienna, Vienna 604576293
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limit thinkinga cloud-enabled world.
As a Software Engineer, you will work on the next generation of our clinical documentation products powered by Artificial Intelligence. You will contribute to design, implementation and operation of our backend serving solutions. This opportunity will allow you to develop a deep understanding of real-world AI use cases of a hyper-scale cloud provider, offering a predictable path to long-term career growth in a team with high employee retention.
- Bachelor's Degree in Computer Science or related technical field (OR equivalent experience)
- Multi-year technical engineering experience with coding in language including, but not limited to, C, C++, Python, C#
- Multi-year experience building and operating cloud services
- Master's Degree in Computer science or related technical field (OR equivalent experience)
- Multi-year technical engineering experience with coding in language including, but not limited to, C, C++, Python, C#
- Multi-year experience building and operating cloud services
- Multi-year experience working with machine learning models in areas such as: natural language processing, generative AI, speech-to-text
The salary for this role is starting from 59,000 euros per annum depending on experience.
Other Requirements
to meet Microsoft, customer and/or government security screening requirementsfor this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
- This position will berequiredto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Responsibilities
, properly handle errors, write clean andmachine learning and artificial intelligence.
Responsibilities include:
- Contribute to design of AI technology, with a focus on natural language processing
- Implement microservices exposing AI technology
- Develop and deploy infrastructure for hosting and operating AI models
- Monitor andoperateAI model serving infrastructure
- Maintain operations of live services as issues arise on a rotational, on-call basis
- Contribute to development of automation within production and deployment of features
- Apply best practices to reliably build code that is based on well-established methods
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