At the core of the AI revolution lies data: Machine learning is used to create software artifacts from data. This data is valuable and requires careful management. Azure Data is the world leader in data management and processing with products such as SQL Server, Azure HDInsight, and Azure Synapse.
We are expanding our Azure Synapse team to bring together the best in big data management and machine learning. We work with and contribute to state-of-the-art open-source packages, including Apache Spark, Koalas, Pandas, Dask, sklearn, MLFlow, TensorFlow, and PyTorch. We combine those with our own tech tobuild secure, reliable, scalable, and high-performance machine learning platforms. With our platforms, we strive to enable our customers to follow the principles of responsible AI: Fairness, Inclusiveness, Reliability & Safety, Privacy & Security, Transparency, Accountability.
To support these ambitions, we are growing our distributed team across 4 locations: Washington State, Serbia, China, and India. We also work closely with teams across Microsoft, including Microsoft Research, Azure ML, and our own Gray Systems Lab. We strive for an open, collaborative environment where equal participation from every location is possible. To do so, we apply best practices from open-source development to our own work style.Responsibilities
As an engineer, you will help us realize the vision above in many ways:
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