Infrastructure Engineer - Tel Aviv District
1 month ago
Job summary
We are looking for an experienced Deep Learning & AI Infrastructure Engineer to join our AI team.In this role, you will develop and deploy advanced deep learning models for signal processing and build the infrastructure and tooling required to scale AI training and inference in both research and production environments.
You will be responsible for the end-to-end lifecycle of AI workloads including data ingestion and preprocessing pipelines model training infrastructure efficient inference systems automated experiment tracking Key Responsibilities Design implement optimize deep learning models pipelines signal image analysis Build maintain AI infrastructure components support model training versioning monitoring deployment Develop scalable data processing pipelines datasets ingestion labeling augmentation preprocessing scale Implement automated training workflows tools ClearML other experiment tracking platforms reproducibility model governance Collaborate system engineers integrate AI models real-time radar systems ensure efficient inference performance Optimize distributed training resource utilization Run performance tuning testing benchmarking both training inference workloads Document infrastructure components procedures processes Required Qualifications years experience machine learning / deep learning engineering Strong background Python major deep learning frameworks PyTorch TensorFlow B.Sc Electrical Engineering Computer Engineering related field M.Sc Ph.D plus Experience with DSCC , including branching strategies collaborative workflows integration CI/CD pipelines Proven experience designing implementing end-to-end
Job description
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