Associate Solutions Engineer - Ai

SHI International Corp

Piscataway, United States
Base: $75,000 - $150,000; bonus/equity: not specif...
On-site
Python for machine learning
Pytorch and ml workflows
Ai accelerators and kernels
SHI International Corp is seeking an Associate Solutions Engineer specializing in AI, focusing on the design and implementation of AI-powered solutions for enterprise customers. The role requires a strong foundation in machine learning and hands-on development experience, with opportunities for professional growth in a collaborative environment

Job Summary

  • Support the design, validation, and implementation of AI-powered solutions across enterprise platforms, infrastructure, and data environments.
  • Work with AI infrastructure stacks, including accelerators, kernels, training pipelines, and performance optimization.
  • Participate in technical workshops, solution briefings, and architecture sessions with customers.

Matching Summary

Match Score: 85

SHI International Corp is seeking an Associate Solutions Engineer specializing in AI, focusing on the design and implementation of AI-powered solutions for enterprise customers. The role requires a strong foundation in machine learning and hands-on development experience, with opportunities for professional growth in a collaborative environment.

Salary

Base: $75,000 - $150,000; Bonus/Equity: Not specified; Benefits: medical, vision, dental, 401K, and flexible spending

Skills & Requirements

Must-have

  • Python for machine learning
  • PyTorch and ML workflows
  • AI accelerators and kernels
  • ML infrastructure pipelines
  • Data pipelines for ML
  • Customer-facing solution development

Nice-to-have

  • Generative AI and agentic systems
  • Low-level optimization concepts
  • Cloud, hybrid, or on-prem ML platforms
  • NVIDIA platforms and frameworks
  • Containerization and deployment tools

Key Requirements

  • Strong proficiency in Python
  • Experience with PyTorch
  • Understanding of fine-tuning techniques
  • Solid foundation in software development
  • Exposure to AI accelerators
  • Familiarity with ML infrastructure pipelines

Work Rights

Not specified

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