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Generative AI Engineer (Instructor)

3 weeks, 1 day ago
United States
Part-time
Senior
AI Engineer
Artificial Intelligence and Machine Learning
BERT Generative AI GPT LLM NLP Python PyTorch SageMaker TensorFlow
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Sizanid Staffing

Global staffing and recruitment agency offering AI-powered staffing solutions across multiple industries and regions, including permanent and temporary staffing, executive search, recruitment process outsourcing, global mobility staffing, international/remote staffing, and workforce training and AI upskilling.

Staffing & Recruiting
View All Jobs 29

Description

  • Design, develop, and implement generative AI models and applications using state-of-the-art techniques.
  • Deliver training sessions, workshops, and tutorials on generative AI concepts, tools, and best practices.
  • Create instructional materials such as manuals, slide decks, and hands-on exercises.
  • Stay current with the latest research and advancements in generative AI, NLP, and related technologies.
  • Collaborate with cross-functional teams to integrate generative AI solutions into product pipelines.
  • Provide technical guidance and support to teams adopting generative AI technology.
  • Evaluate and optimize existing AI models for performance, scalability, and robustness.
  • Assist in curriculum development for internal AI and machine learning training programs.

Requirements

  • Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Bachelor’s degree with 6-8+ years of experience.
  • Proven experience developing generative AI models using TensorFlow, PyTorch, or similar frameworks.
  • Strong knowledge of NLP techniques, transformer architectures such as GPT and BERT, and generative modeling.
  • Experience in instructional design and delivering technical training or workshops.
  • Proficiency in Python and relevant AI/ML libraries.
  • Excellent communication and presentation skills for diverse audiences.
  • Familiarity with cloud AI platforms such as AWS SageMaker, Google AI Platform, or Azure ML is a plus.
  • Experience with prompt engineering and fine-tuning large language models is preferred.
  • Background in developing AI products or solutions in a commercial environment is preferred.
  • Strong teamwork and mentoring abilities are preferred.
  • Active contribution to AI research or open-source projects is preferred.

Benefits

  • Part-time position.
  • Pay depends on experience.

Interested in this position?

Apply directly on the company website

Apply Now

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