Principal Research Scientist

**Location**: [Mangalagiri, AP, India]

**Work Mode**: Hybrid (early-morning remote + on-site)
**Schedule**: Live cohorts from 05:00 IST (remote acceptable) + daytime campus/enterprise sessions

**About the role**

We’re hiring a PhD-level educator-researcher to lead teaching and applied research in AI/ML across universities, high school researchers in north america, and enterprise upskilling. You’ll run large, high-energy classes (often packed with software engineers), supervise research, publish, and ship real prototypes that matter.

What you’ll do

**Teaching & Mentorship**
- Deliver clear, engaging classes on Python + core ML/AI (data prep, classical ML, intro deep learning, evaluation, deployment basics).
- Teachlarge mixed-experience cohortswith strong classroom management.
- Run hands-on labs (Jupyter/Colab), design assignments/quizzes, grade with rubrics, and host office hours/capstone mentoring.
- Lead early-morning live sessions from 05:00 IST for global cohorts (remote), plus on-site sessions later in the day.

**Research & Impact**
- Lead applied AI/ML projects (e.g., CV, NLP/LLMs & RAG, tabular ML, forecasting), publish in reputable venues, and open-source code/data where possible.
- Build small research teams (students + engineers), manage IRB/ethics when needed, and drive industry collaborations and PoCs.

**Programme & Community**
- Co-own curriculum roadmaps; keep examples industry-relevant.
- Maintain teaching repos (notebooks, datasets, slides) and contribute to internal tooling.
- Present talks/workshops for partner institutions and enterprise clients.

**Minimum requirements (must-have)**
- PhD in CS/AI/ML/Data Science/EE/Applied Math (or adjacent field).
- Willingness to work early hours (from 05:00 IST; remote acceptable for this slot).
- Excellent communication and strong classroom presence, especially with large groups of software engineers.
- Python fluency.
- Solid AI/ML foundations

**Preferred (good-to-have)**
- Deep-learning experience (PyTorch or TensorFlow), plus one area: LLMs/RAG/agents, computer vision, time-series.
- MLOps familiarity: versioning (Git/GitHub), experiment tracking (e.g., W&B), packaging (Docker), simple APIs (FastAPI/Streamlit).
- A track record of publications / open-source repos / datasets; prior student supervision (MTech/BTech/MSc) or corporate L&D.
- Comfortable on Linux/cloud notebooks; basic SQL; data ethics/privacy awareness.

**Success metrics**
- Learner outcomes (attendance, completion, assessment deltas, CSAT/NPS).
- Research outputs (papers, code/data releases, demos/PoCs, grants/industry wins).
- On-time delivery of labs, grading SLAs, and feedback quality.
- Evidence of classroom engagement and inclusion.

**Compensation & benefits**
- Competitive CTC (India) commensurate with experience.
- Hybrid flexibility; conference support; professional development budget.

**How to apply**

Pay: ₹100,051.00 - ₹144,225.60 per month

**Education**:

- Doctorate (required)

**Location**:

- Mangalagiri, Andhra Pradesh (required)