" Work closely with algorithms teams to build Machine Learning infrastructure.
" Take responsibility for end-to-end design of APIs, methodologies, processing pipelines and integration with internal customers and tools.
" Help establish best practices and a culture of excellence in deploying maintainable data and model pipelines.
Requirements: " B.Sc. in Computer Science or related STEM degree.
" At least 5 years SW industry experience including MLOps roles.
" High proficiency in Python and C ++.
" Strong understanding of the MLOps technological landscape, software testing methodologies and continuous integration tools.
" Strong communication and interpersonal skills.
" Ability to effectively communicate across multi-disciplinary teams, translate discussions into robust software tools, designs and guidelines.
Advantages
" Hands-on experience with low-level internals of Machine Learning frameworks including quantization and deployment of Machine Learning models to Embedded platforms and setup of distributed systems for training of ML models.
" Experience with Pytorch/cmake/docker/git/ Linux /GPUs/quantization/job-schedulers and CI/workflow tools.
" Experience with web applications.
" Able to profile performance issues.
.המשרה מיועדת לנשים ולגברים כאחד