Data Science Faculty
2 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.
**Benefits**:
- Provident Fund
Work Location: In person
**Experience**:
- total work: 1 year (preferred)
Work Location: In person
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