Job Description:
" 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.
Location:
Hybrid, Tel Aviv - Center
Job Qualifications:
" 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.
Company Occupation:
Video/Audio Related, High Tech, Semiconductor/capital equipment
Company Size:
Large (150+)