ML & AI Engineer: Deploy & Optimize Models

Worky; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

AMD is seeking a technical expert in ML and AI tool development to join its AI engineering team in Santa Clara, CA. The role focuses on automating data analytics, deploying ML/AI models in production, and ensuring data quality in production environments.

The candidate should have strong knowledge of machine learning, statistics, algorithms, and experience with PyTorch, TensorFlow, and Python packages such as NumPy. Collaboration with cross-functional teams will be essential.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Mathematics, or related field.
• Strong proficiency in Python, JavaScript and C++ for ML/AI tool development and production deployment.
• Experience with deploying ML/AI models in production and data analytics.

Responsibilities

• Develop, deploy, and test ML/AI software tools.
• Use Python, JavaScript, and C++ to create faster, more capable AI.
• Conduct data analytics and statistical analysis; develop algorithms and automation scripts.
• Collaborate with the AMD AI engineering team to ensure seamless development and integration.
• Leverage AI insights to inform strategic recommendations for team goals.
• Stay current on AI knowledge, trends, and regulations.
• Present progress with team leadership and stakeholders.

Skills

Python

JavaScript

C++

Data science

Linear algebra

Algorithms

Statistics

Neural networks

PyTorch

TensorFlow

NumPy

Web development

Education

Bachelor’s degree in Computer Science

Master’s degree in Computer Science/Engineering/Math

Tools

Flask

Angular

ASP.Net Core

Job description

AMD is seeking a technical expert in ML and AI tool development to join its AI engineering team in Santa Clara, CA. The role focuses on automating data analytics, deploying ML/AI models in production, and ensuring data quality in production environments.

The candidate should have strong knowledge of machine learning, statistics, algorithms, and experience with PyTorch, TensorFlow, and Python packages such as NumPy. Collaboration with cross-functional teams will be essential.