Principal Instructor

**Location**: [Mangalagiri, AP, India]
- **Work Mode**: Hybrid (early-morning remote + on-site classroom)
**Schedule**: Early cohorts start **05:00 IST**; remaining hours flexible

**About the role**

We’re looking for a confident teacher who can make AI/ML concepts click for university students, high-school researchers ( in North America), and working software engineers. You’ll run live classes, lead hands-on Python labs, and guide projects that turn theory into practical skills.

What you’ll do
- Deliver clear, engaging lessons on Python + foundational AI/ML.
- Teach large classrooms, including cohorts of software engineers; set expectations, manage pace, and keep high engagement.
- Run hands-on labs in Jupyter/Colab; debug quickly and support varied learner speeds.
- Design/iterate assignments, quizzes, and mini-projects; grade fairly with rubrics and give actionable feedback.
- Host early-morning live sessions (from 05:00 IST) for global cohorts (remote), plus on-site sessions later in the day.
- Maintain course repos (notebooks, datasets, slides); keep examples current and industry-relevant.
- Provide office hours/mentorship for capstones and career guidance.
- Collaborate with curriculum and program teams; report learning outcomes and improve continuously.

Minimum requirements (must-have)
- Master’s degree (STEM preferred: CS, DS, EE, Math, or related).
- Willingness to work early hours (from 05:00 IST; remote delivery acceptable for this slot).
- Excellent communication skills which include clear explanations, strong classroom presence, structured feedback.
- Comfort teaching large, mixed-experience groups (including professional software engineers).
- Python fluency.
- Basic AI/ML knowledge.

Nice to have (good-to-have)
- Exposure to scikit-learn pipelines; basics of PyTorch or TensorFlow.
- Practical experience with feature engineering, model interpretation, and simple deployment (Streamlit).
- Git/GitHub proficiency; comfort on Linux; familiarity with cloud notebooks.
- Prior teaching/training, academic supervision, or corporate L&D experience.
- Curriculum design, rubric creation, and assessment analytics.

Success metrics
- Learner satisfaction (CSAT/NPS), attendance and completion rates.
- Measurable skill gains (pre/post assessments).
- On-time delivery of labs, grading SLAs, and constructive feedback quality.
- Classroom management effectiveness (engagement, pace, inclusivity).

Compensation & benefits
- Competitive CTC commensurate with experience.
- Flexible hybrid work; professional development budget; certification support.

**How to apply**

Pay: ₹44,391.69 - ₹70,198.59 per month

**Education**:

- Master's (preferred)

**Location**:

- Mangalagiri, Andhra Pradesh (required)