Job Description
WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems
Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary
When you join AMD, you’ll discover the real differentiator is our culture
We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives
Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
The candidate is a technical expert in Machine Learning (ML) and Artificial Intelligence (AI) tool development, ML/AI model deployment, and quality control
The candidate works within our AI engineering team to automate data analytics, identifies opportunities for ML and AI applications, develops ML/AI models, monitors the output data quality in production environments.
THE PERSON:
The ideal candidate will have a strong understanding of machine learning, principles of statistical analysis and algorithms, as well as experience with developing and deploying ML/AI models in production.
KEY RESPONSIBILITIES:
- Develop, deploy, and test ML/AI software tools.
- Use Python, JavaScript, and C++ to create a faster, more capable AI.
- Conduct data analytics and statistical analysis, develop algorithms and automation scripts.
- Work with AMD AI engineering team to ensure seamless AI development and integration.
- Use AI analysis to make strategy recommendations that align with the team’s goals.
- Stay current on AI knowledge, trends, and regulations.
- Collect, organize, and present progress with team leadership and stakeholders.
PREFERRED EXPERIENCE and SKILLS:
- In-depth knowledge of computer programming languages, such as Python, JavaScript, and C++.
- Deep understanding of data science, linear algebra, algorithms, and statistics.