Instructor, Applied Gen AI Specialization – Part time
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Job Description
Instructor delivering content from Applied AI Program at Simplilearn. Engaging learners with hands-on projects and theoretical insights in AI and machine learning.
Responsibilities:
- Create a positive, professional and inclusive learning environment, by:
- Teaching select lessons in accordance with learning objectives and fidelity to session plans provided by Simplilearn
- Employing strategies known to meet the needs of adult learners, including leveraging tech tools, instructional best practices and connecting content to the real world by sharing industry insights and professional experiences
- Managing regular communication with students to align on progress, expectations, celebrate milestones and address concern areas
- Providing individualized student support during synchronous class sessions and outside class synchronously during office hours and asynchronously through timely communication
- Evaluate student performance and progression toward competencies based on course deliverables and course rubrics, by:
- Providing constructive and timely feedback to students in the cohort
- Assisting in the management of Performance Action Plans for individual students who need additional support
- Serve as role model for students and as an ambassador for our brand, by:
- Exhibiting professionalism and an ethical and empathetic approach when engaging with Simplilearn staff, students, and the public
- Promoting student retention and amplify student satisfaction by creating a positive classroom culture for the Learning Team, communicating timely with students and leveraging effective interventions and sharing of resources
- Encouraging teamwork and seek feedback for continuous improvement
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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