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In this role, you will be responsible for:
Development of large-scale generative AI framework software development
Preparing data for machine learning models at scale.
Building inference interfaces for ML model consumption.
Enabling ML Ops for continuous delivery and automation of ML pipelines.
Developing solutions that can evolve into sustainable AI productization platforms.
Leading the creation of machine learning workflows and infrastructure necessary to build AI models and demonstrate solution feasibility.
*BSc/MSc/PhD student in Computer Science, Electrical Engineering, or similar field. MSc/PhD candidates are highly preferred.
* Ability to work at least 20 hours a week (one day from Petach Tikva offices), with studies expected to continue for at least 1.5 years.
* Practical programming experience in Python and ideally also C# is required.
*Experience with popular generative AI (e.g., AWS (Claude) or Azure (Open AI) Cognitive AI) services is highly desired.
* Solid understanding of machine learning techniques and applications.
* Proficiency in developing large-scale models using widely utilized AI frameworks (e.g., PyTorch, TensorFlow).
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Key Responsibilities:
Required:
Preferred:
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We are looking for a talented student to help us with our research and software development projects. In this role, you will work closely with multiple research and engineering teams to make cutting-edge NLP/MM models more efficient, optimize software, and contribute to internal frameworks and open-source projects.
As a Research student, you will focus on:-
Extra points are given for:
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Primary Responsibilities
Required Qualifications
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What you will do:
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These jobs might be a good fit