The Wireless Connectivity AI Center of Excellence is seeking a Machine Learning Engineering Student to join our dynamic team.
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.
Work Model: Hybrid (One day from Petach Tikva Offices)
* BSc/MSc/PhD student in Computer Science or Electrical Engineering or similar.
* Ability to work at least 20 hours a week, with studies expected to continue for at least 1.5 years.
* Practical programming experience in Python and ideally also C# is required.
* Experience with Azure Generative AI (ChatGPT) 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).
The ideal candidate enjoys solving problems, possesses excellent communication and technical skills, is motivated, proactive, a self-starter, and has a strong curiosity for exploring emerging AI technologies and realizing novel use cases, with hands-on experience in software development.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.Get notified when new jobs are added by INTEL