Job Description

1. Training Delivery

Conduct classroom and/or online training sessions in data science, AI, machine learning, and Deep learning related topics. Teach core concepts such as statistics, data wrangling, data visualization, supervised and unsupervised learning, and model evaluation. Instruct using tools and languages like Python, Pandas, NumPy, Scikit-learn, TensorFlow, SQL, Power BI/Tableau, and Jupyter Notebook.

2. Curriculum Development

Design and continuously update training materials, lesson plans, hands-on exercises, and real-world projects. Ensure alignment with current industry standards and certification requirements (e.g., IBM, Microsoft, Google certifications).

3. Mentoring & Student Support

Provide individual support and mentorship to help learners complete projects and assignments. Review student work, offer constructive feedback, and assist in building data science portfolios. Prepare students for interviews and certifications.

4. Assessment & Evaluation

Design tests, quizzes, and project evaluations. Track student performance and engagement, providing periodic feedback and improvement strategies. Maintain accurate records of student progress and completion.

5. Continuous Improvement

Stay updated with emerging technologies and trends in data science, AI, and analytics. Attend faculty development programs, industry webinars, and contribute to content enhancement. Collaborate with other instructors, academic staff, and industry partners.
Job Type: Full-time

Pay: ?10,000.00 - ?15,000.00 per month

Schedule:

Day shift
Supplemental Pay:

Performance bonus
Work Location: In person