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

Express interest on indeed or send your CV, a brief statement of teaching philosophy, and one sample notebook or slide deck to with subject "AI/ML Instructor — (Your Name)".

Job Type: Full-time

Pay: ₹44, ₹70,198.59 per month

Education:

• Master's (Preferred)

Location:

• Mangalagiri, Andhra Pradesh (Required)