ML AI Engineer

ML AI Engineer at AMD

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.
• Experience developing and deploying machine learning.
• Practical knowledge of neural networks and data science.
• Experience with PyTorch, Tensorflow and Python packages, such as NumPy (Plus).
• Experience with web development using Javascript and frameworks such Flask, Angular, ASP.Net Core, etc. (Plus).
• Experience using relational (SQL) and noSQL databases.
• Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment.
• Strong interpersonal and communication skills and a willingness to collaborate with different functional teams.

Academic Credentials

• Bachelor’s degree or master’s degree in Computer Science, Computer Engineering, Mathematics, or related field.

Key Skills/Competency

• Machine Learning
• Artificial Intelligence
• Python
• JavaScript
• C++
• Data Science
• Algorithms
• Statistical Analysis
• Model Deployment
• Neural Networks