Generative AI Engineer (Instructor) [Remote]

Position: Generative AI Engineer (Instructor)

About Our Client:

Our client, a forward-thinking technology organization, is seeking an experienced Generative AI Engineer to join their team as an Instructor. This role involves not only developing innovative generative AI models and solutions but also training and mentoring teams or clients on the implementation and best practices of generative AI technologies.

Key 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.

Qualifications & Skills:

• 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.

Preferred Qualifications:

• Experience with prompt engineering and fine-tuning large language models.
• Background in developing AI products or solutions in a commercial environment.
• Strong teamwork and mentoring abilities.
• Active contributor to AI research or open-source projects.

Part time. Pay depends on experience.