
Data Science
6 days ago
**Description**
**Key Responsibilities**
- Design course materials, lesson plans, and practical projects aligned with industry requirements.
- Guide students through real-world case studies, capstone projects, and automation workflows.
- Stay updated on emerging technologies and incorporate latest trends and tools into training.
- Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.
- Participate in seminars, workshops, and webinars to promote the courses.
**Required Skills & Competencies Technical Skills**:
Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).
Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI
Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.
Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).
Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.
**Language**:
- English (preferred)
Qualifications:
Bachelor’s/Master’s in Computer Science, Data Science, AI, or related field.
Professional certifications (Python, Data Analytics, AI, RPA) preferred.
2+ years of relevant teaching or corporate training experience.
**Job Types**: Full-time, Permanent
Work Location: In person
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