Machine Learning​/Deep Learning​/NLP​/ML Deployment Instructor

Machine Learning / Deep Learning / Natural Language Processing / Machine Learning Deployment Instructor & Mentor (On-site/Remote)

Job Title: Instructor & Mentor

Employment Type: Both On-site and Remote

Location: Riyad / Saudi Arabia (For On-site type, relocation is required)

Job Description: Our Client Company is a respected technology, education and training provider committed to empowering individuals with the knowledge and skills needed to excel in the Data Science field. We are currently seeking an experienced and dedicated Both On-site and Remote Instructor/Mentor to lead a 13-week training program in Saudi Arabia. The ideal candidate will have current knowledge and teaching/mentoring experience in all aspects of Machine and Deep learning including Supervised Learning Models, Unsupervised Learning Models, Neural Networks (ANN, CNN, RNN), Model Evaluation, Optimization Techniques, Text Mining, Natural Language Processing, Model Deployment on Streamlit and AWS Sage Maker.

For instructor role, you can apply for all aspects or any of the parts separately; for mentor role, all aspects are required.

As an instructor, you will be responsible for delivering comprehensive training and lectures on Machine Learning, Deep Learning, Natural Language Processing and Generative AI, Model Deployment on Streamlit and AWS Sage Maker topics. As a mentor, you will be responsible for delivering comprehensive mentoring on the same topics. These roles are specifically designed for both on‑site training in Saudi Arabia and online training.

For both cases, you will play a critical role in ensuring that our regional students gain a deep understanding of these technologies and can apply them effectively.

Classes consist of 5 sessions per week, from 9:00 am to 12:30 pm (AST, UTC/GMT+3). Mentoring activities will be held from 13:30 pm to 17:30 pm (AST, UTC/GMT+3). Instructors will teach Sunday through Thursday, 20 hours per week. Mentors will guide Sunday through Thursday, 20 hours per week. The program will start in April and September.

Relocation is required as the course will be held in Riyadh, Saudi Arabia for on‑site type.

• Conduct engaging and informative onsite/online lectures and workshops on Machine Learning, Deep Learning, Natural Language Processing and Generative AI, and Model Deployment on Streamlit and AWS Sage Maker.
• Conduct engaging and informative onsite/online mentoring and workshops on the same topics.
• Collaborate with the curriculum development team to create, adapt, and enhance training materials, including presentations, handouts, and assignments.
• Lead practical hands‑on sessions to help students gain valuable experience using the mentioned technologies and tools in a Saudi Arabian setting.
• Provide individualized guidance and support to students, addressing their questions and challenges, and ensuring they are adapting the curriculum effectively for the local context.
• Design and administer assessments and evaluations to measure student progress, and provide constructive feedback.
• Keep up‑to‑date with the latest trends and advancements in data science, tailoring the content to meet the specific demands and preferences of students in Saudi Arabia.
• Ensure the training program meets the highest standards of quality and effectiveness.
• Maintain records of attendance, student performance, and other relevant data in compliance with Saudi Arabian regulations.
• Collaborate with the management team to ensure that training programs align with industry demands and the needs of students in Saudi Arabia.

• Passion for teaching and mentoring in a diverse cultural environment.
• Technical background in Machine Learning, Math, and Python Programming.
• Expert level of proficiency in using Python Machine Learning packages (Pandas, Numpy, Stats, Scipy, Matplotlib, Seaborn, Scikit-learn, Streamlit), experience with Tensor Flow and Keras, and AWS Sage Maker.
• Experience with NLP applications of ML and DL (RNN models) and pre‑trained models (LLMs).
• Experience in instructional design and teaching/mentoring technical courses.
• Experience in preparing…