Fullstack Academy

Fullstack Academy

Fullstack Academy: Top-ranked coding bootcamp in NYC & online, transforming individuals into skilled developers for top tech companies.

Diversified Consumer Services
11-50
Founded 2012

Description

  • Teach selected lessons in line with learning objectives and provided session plans.
  • Lead live online sessions in an interactive instructor-led format.
  • Guide learners through hands-on projects and capstone assignments.
  • Mentor students on applying AI techniques to solve practical business and industry problems.
  • Create a positive, professional, and inclusive learning environment for adult learners.
  • Use instructional best practices, tech tools, and real-world examples to support learning.
  • Communicate regularly with students about progress, expectations, milestones, and concerns.
  • Provide individualized support during class, office hours, and asynchronous communication.
  • Evaluate student performance and progression using course deliverables and rubrics.
  • Provide timely, constructive feedback and support Performance Action Plans when needed.

Requirements

  • 7+ years of industry experience in Artificial Intelligence, Machine Learning, or Data Science.
  • Hands-on experience building and deploying AI models.
  • Strong understanding of supervised and unsupervised learning and deep learning architectures including CNNs, RNNs, and LLMs.
  • Experience with TensorFlow, PyTorch, and Scikit-learn.
  • Proficiency in Python and data libraries such as NumPy, Pandas, and Matplotlib.
  • Practical experience with Natural Language Processing and Computer Vision.
  • Experience using pre-trained models and transfer learning techniques.
  • Familiarity with Generative AI models such as GPT, BERT, and Stable Diffusion.
  • Knowledge of techniques such as Transformers, RLHF, RAG, and prompt engineering.
  • Strong applied background using AI for business or research applications, with experience implementing or fine-tuning generative or predictive models preferred.
  • Prior teaching, mentoring, or training experience in an academic or corporate environment preferred.
  • Advanced degree such as MTech, MS, or PhD in Computer Science, Artificial Intelligence, or a related field, or relevant Data Science/AI certifications preferred.
  • Excellent communication and presentation skills.
  • Passion for teaching, mentoring, and staying current with AI and generative technology advancements.
  • Part-time availability of approximately 8-10 hours per week, with manager approval required to exceed expected hours.

Benefits

  • $50 per hour expected compensation for candidates who meet the qualifications.
  • Part-time, remote work arrangement.
  • Hourly, non-exempt pay for all time worked.
  • Approximately 8-10 hours per week.

Interested in this position?

Apply directly on the company website

Apply Now

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