Job Description

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

Apply on Indeed or send your CV, a brief statement of teaching philosophy to

ramya@pyxeda.ai

with subject "

AI/ML Instructor -- [Your Name]

".

Job Type: Full-time

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

Education:

Doctorate (Required)
Location:

* Hyderabad, Telangana (Preferred)