Generative AI Engineer (Instructor)
New
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Sizanid StaffingArtificial Intelligence
Georgia, United States. Texas, United States. New York, New York, United States. Maryland, United StatesPart-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 6-8 years
- Required Skills
- PythonMachine LearningPyTorchTensorflowNLPGenerative AI
Requirements
- Advanced degree (Master’s or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
- Bachelors with more 6-8 years experience.
- Proven experience in developing generative AI models using frameworks such as TensorFlow, PyTorch, or similar.
- Strong knowledge of NLP techniques, transformer architectures (e.g., GPT, BERT), and generative modeling.
- Experience in instructional design and delivering technical training or workshops.
- Proficiency in programming languages like Python and relevant AI/ML libraries.
- Excellent communication and presentation skills, with ability to convey complex technical concepts to diverse audiences.
- Familiarity with cloud AI platforms (AWS SageMaker, Google AI Platform, Azure ML) is a plus.
Responsibilities
- 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 to engineers, data scientists, and other stakeholders.
- Create comprehensive instructional materials, including manuals, slide decks, and hands-on exercises.
- Stay current with 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 training programs related to AI and machine learning.
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