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AI Systems Engineer

TalentUp Staffing

 

San Jose, CA, USA

Posted On: 15+ days ago
Experience: 5 - 7 years
Availability: Hybrid
Openings: 2
Category: AI Engineer
Tenure: Full-time Only, Contract - Independent, Contract - W2
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Description

Deploy and optimize machine learning models for edge environments, focusing on performance analysis and memory storage constraints.

This role is on-site.

Responsibilities

  • Deploy and optimize machine learning models for edge environments.
  • Conduct performance analysis and optimize memory storage constraints.
  • Develop and implement SDKs for SoC, ASIC, and FPGA architectures.
  • Manage dynamic systems and processor systems integration.
  • Write technical documentation and project proposals.

Required Skills

  • 5 to 7 years of professional experience in AI and Machine Learning.
  • Experience with Edge AI and model deployment.
  • Knowledge of SoC, ASIC, and FPGA architectures.
  • Proficiency in performance analysis and optimization.
  • Experience working with SDKs and memory storage constraints.
  • Strong technical documentation and proposal writing skills.
  • US Citizenship is required for this role.

Preferred Skills

  • Experience with dynamic systems management.

Key Skills
Education

Not specified

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