Data Scientist

Intel

Penang, Malaysia
Hybrid
Python and ml frameworks proficiency
Production grade ml system design
Time series analysis and statistics
This role partners with functional validation engineers to accelerate pre and post silicon validation through data-driven methods

Job Summary

  • This role partners with functional validation engineers to accelerate pre and post silicon validation through data-driven methods.
  • You will architect end-to-end AI systems including data pipelines, feature stores, and MLOps governance to scale across products.
  • The position involves applying LLMs and RAG to automate triage, summarize complex logs, and recommend next debug steps.

Matching Summary

This role partners with functional validation engineers to accelerate pre and post silicon validation through data-driven methods.

Skills & Requirements

Must-have

  • Python and ML frameworks proficiency
  • Production grade ML system design
  • Time series analysis and statistics
  • CI/CD and software engineering practices
  • Cross team technical alignment skills

Nice-to-have

  • Pre and post silicon validation experience
  • Transformer-based model expertise
  • Anomaly detection and root cause modeling
  • Distributed compute with Spark or PySpark
  • GenAI methods in debug workflows

Key Requirements

  • Degree in Data Science with 3+ years experience
  • Master or PhD in related technical field
  • Strong proficiency in Python, PyTorch/TensorFlow, SQL

Work Rights

Not specified

Tailored Resume

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