We aim to transform fresh graduates into software professionals while also helping professionals upgrade their skills.
Instructor, Applied Gen AI Specialization – Part time
Location
United States
Posted
50 days ago
Salary
$50 / hour
Job Description
Job Requirements
- 7+ years of industry experience in Artificial Intelligence, Machine Learning, or Data Science, with hands-on expertise in building and deploying AI models.
- A strong understanding of core AI/ML concepts, including supervised and unsupervised learning, deep learning architectures (CNNs, RNNs, LLMs), and modern frameworks like TensorFlow, PyTorch, and Scikit-learn.
- Proficiency in Python and experience with data handling libraries such as NumPy, Pandas, and Matplotlib.
- Practical experience with Natural Language Processing (NLP) and Computer Vision, including use of pre-trained models and transfer learning techniques.
- Familiarity with Generative AI models such as GPT, BERT, Stable Diffusion, and techniques like Transformers, RLHF, RAG, and prompt engineering.
- A strong applied background in using AI for business or research applications—experience in implementing or fine-tuning generative or predictive models is highly valued.
- (Preferred) Prior teaching, mentoring, or training experience in an academic or corporate environment.
- (Preferred) Advanced degrees such as MTech/MS/PhD in Computer Science, Artificial Intelligence, or a related field, or relevant certifications in Data Science/AI.
- Excellent communication and presentation skills, with the ability to simplify complex AI topics for diverse learners.
- A genuine passion for teaching, mentoring, and staying updated with the latest advancements in AI and generative technologies.
Benefits
- The expected compensation for this role is $50 per hour for candidates who fulfill the qualifications listed. Candidates with advanced qualifications or domain expertise are encouraged to apply as well. All final offers will be determined based on individual experience, skillset, and alignment with the program needs. Not all candidates will qualify for the top of the salary range.
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