Our team develops software for Big Data and Machine Learning and one of them is a modular platform for distributed data analytics software.
The platform is responsible for parallel execution of the software on single CPU node and further distribution on cluster and/or in a cloud with minimum changes in the software.
Candidate will participate in developing of different parts of the platform such as user public API, distributed execution engines (incl. GPU), support for cloud execution, interacting with machine learning and/or deep learning researchers, and utilizing experience with machine learning and/or deep learning frameworks.

Qualifications

• 2+ years of experience in Python and in Python-based data analytics libraries (eg pandas)
• 2+ years of experience in different distributed execution frameworks (eg Ray)
• 2+ years of experience in in Docker, Kubernetes

Preferred qualifications:
Experience with Numpy
Experience with cloud frameworks
C/C++

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Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.