Responsibilities

· Design and write efficient Python code that implements complex data-processing pipelines including GPU-powered deep neural- network training and evaluation

· Design and deploy this code at scale, in a hybrid on-premise/cloud environment

· Manage and consolidate requirements from various research efforts across the team

Qualifications

· At least 3 years of Python programming – emphasis on distributed, scalable, code.

· At least 1 year of hands-on cloud-computing experience. Specifically, you need to be very comfortable using Docker, bash and  PowerShell to implement customized and automated solutions on top of cloud resources.

· Capability to lead the design of complex data-processing pipelines based on various requirements across the team.

Bonus

· Experience with data-processing Python packages – pandas, dask, pytorch (including CUDA integration), fastparquet, jupyter

· Experience with Kubernetes

· Experience with Azure, specifically with AKS, Azure Batch, and Azure ML

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

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