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About This Role
- Who We Are? Intel’s AI Solutions Group is at the forefront of innovation , delivering state-of-the-art AI capabilities that power Intel’s global chip development.
- Our team of over 250 AI Engineers—primarily based in Israel—is driving one of the most impactful transformations inside Intel.
- Over the past few years, we’ve launched over 1,000 AI solutions , used millions of times each day .
- In recognition of our impact, the team was honored with Intel’s Top Performing Organization Award globally in 2024 .
- We’re innovating with advanced techniques in AI and Generative AI , redefining how silicon development is done.
- We are deeply committed to the growth and development of our people.
- If you're a brilliant, curious, and kind-hearted individual looking to work on meaningful AI challenges— this is the place to thrive .
- As a MLE in our group , you will be responsible for design and development phases in the product development and expected for high business understanding, ongoing business analysis tasks, and implementing machine-learning algorithms.
- As part of the design, you will explore various big data technologies from Kafka, Hadoop ecosystem, Kubernetes, Argo, LLM, GenAI capabilities and various DB technologies (Milvus, Elastic, SQL…).
- The implementation is driven by agile software development approaches like continuous integration, including the use of tools like Git, Jenkins, Helm, Docker, etc.
Qualifications
- What We Are Looking for? BSc /Msc in Computer science/ Software engineering/ Information technology or related fields Availability: at least 2 years of studies remaining. 3 days per week availability during semesters Passion for data and Machine Learning Experience in Kubernetes, Python - Advantage Job Type: Student / Intern Shift: Shift 1 (Israel) Primary Location: Israel, Haifa Additional Locations: Business group: The Central Engineering Group (CEG) is Intel's data-driven organization that builds scalable engineering solutions across three pillars: Product Enablement (IP, tools, and methodologies), Custom ASIC (leveraging existing IP for custom silicon), and Foundry Enablement (supporting top customers and validating technologies).
- The team focuses on customer-driven, end-to-end solutions with short development cycles to deliver measurable business impact across Intel's product and foundry businesses.
Sourced directly from Intel’s career page
Your application goes straight to Intel.
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Specialisation
Open roles at Intel
641 positions
Job ID
/job/Israel-Haifa/Machine-Learning-Engineer-student-for-AI-Solutions-Group_JR0284926
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