ML & AI Engineer — Deploy Production AI Tools

AMD

Santa Clara (CA)

On-site

USD 150,000 - 210,000

Full time

2 days ago
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Job summary

AMD Santa Clara, CA is seeking a technically skilled ML/AI engineer to develop, deploy, and test AI software tools. You will use Python, JavaScript, and C++ to build faster AI systems and perform data analytics and algorithm development.

The role requires producing production-ready ML/AI models with PyTorch/TensorFlow, collaborating with the AI engineering team, and staying current on AI trends and regulations. This is a full-time on-site position in Santa Clara, CA.

Qualifications

  • Bachelor’s or master’s degree in Computer Science, Computer Engineering, Mathematics, or related field.
  • Strong knowledge of ML/AI concepts, algorithms, and data analysis.
  • Experience deploying ML/AI models in production with PyTorch or TensorFlow.

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.
  • Work with AMD AI engineering team to ensure seamless AI development and integration.
  • Use AI analysis to make strategy recommendations aligning with team goals.
  • Stay current on AI knowledge, trends, and regulations.
  • Collect, organize, and present progress with team leadership and stakeholders.

Skills

Python
C++
Machine Learning
Data analysis
PyTorch
TensorFlow
JavaScript
NumPy

Education

Bachelor's or Master's in CS/CE/Math

Tools

Flask
Angular
ASP.NET Core
SQL
NoSQL

Job description

AMD Santa Clara, CA is seeking a technically skilled ML/AI engineer to develop, deploy, and test AI software tools. You will use Python, JavaScript, and C++ to build faster AI systems and perform data analytics and algorithm development.

The role requires producing production-ready ML/AI models with PyTorch/TensorFlow, collaborating with the AI engineering team, and staying current on AI trends and regulations. This is a full-time on-site position in Santa Clara, CA.

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