AI Developer — ML, NLP & AI Solutions (Remote/Hybrid)

Garden Life Dev

Goldsboro (NC)

Hybrid

USD 52,000 - 88,000

Full time

14 days+

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Benefits offered by this job

Health benefits

Job summary

Garden Life Development is seeking an AI Developer for a full-time temporary (W-2) role based in North Carolina with on-site, hybrid, or remote options depending on the assignment. You will build and integrate AI models, prepare data, and ensure AI features are accurate, efficient, and scalable in production.

This position requires hands-on work with LLM APIs, ML frameworks, REST APIs, and collaboration with data scientists and engineers.

Qualifications

  • Hands-on experience with LLM APIs or ML frameworks.
  • Experience with REST APIs, Git, and automated testing.
  • Bachelor's degree in a related field, or an equivalent combination of education and experience. Degrees and certifications are verified before placement.

Responsibilities

  • Develop and implement AI models and solutions for business needs.
  • Build with machine learning, natural language processing, and computer vision.
  • Integrate AI models into existing systems with data scientists and engineers.
  • Collect, prepare, and analyze large datasets to train and improve models.
  • Test, debug, and version AI models using best practices.
  • Monitor and refine AI systems for accuracy, efficiency, and scale.
  • Troubleshoot and support deployed AI features.
  • Try out new AI techniques and frameworks.

Skills

LLM APIs
ML frameworks
REST APIs
Git
Automated testing

Education

Bachelor's degree or related field

Tools

Azure OpenAI
AWS Bedrock
Vector database

Job description

Garden Life Development is seeking an AI Developer for a full-time temporary (W-2) role based in North Carolina with on-site, hybrid, or remote options depending on the assignment. You will build and integrate AI models, prepare data, and ensure AI features are accurate, efficient, and scalable in production.

This position requires hands-on work with LLM APIs, ML frameworks, REST APIs, and collaboration with data scientists and engineers.

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