Data Analytics Faculty

Job Opening: Faculty – Data Science and AI (DSAI)

Location: Mumbai ( Vasai-Virar Region)

Organization: AILuminary

Employment Type: Part-time / Visiting Faculty (with potential for full-time transition)

Start Date: Immediate

At AILuminary, we don’t just teach Data Science—we mentor future industry leaders. Our 3-year DSAI program is built on one mission: to equip students with real-world skills, international certifications, and GitHub-worthy portfolios—so they don’t just graduate, they get hired. We believe education must be engaging, industry-aligned, and delivered by mentors, not lecturers.

As a DSAI Faculty at AILuminary, you will be the learning architect and industry bridge for aspiring data scientists. You will guide undergraduate learners through hands-on tools, live projects, and certifications—helping them build the skills and confidence to thrive in today’s data-driven world.

Tools you will be using:

Programming & Scripting: Python

Data Analysis & Manipulation: Pandas, NumPy

Visualization: Matplotlib, Seaborn, Power BI, Tableau

Machine Learning & AI: Scikit-learn, TensorFlow, PyTorch

Data Engineering: SQL

NLP & LLMs: NLTK, OpenAI API

Deployment & MLOps: Flask, FastAPI, Docker

Version Control & Collaboration: Git, GitHub

Cloud & Notebooks: Google Colab

Portfolio & Branding: GitHub, LinkedIn, Canva

Attractive revenue-sharing model per batch.

Average batch size: 25–40 students.

Additional incentives for:

Certification success rate

Internship conversions

Final placement outcomes

Job Types: Part-time, Permanent, Freelance
Contract length: 8 months

Pay: ₹800.00 - ₹1,500.00 per hour

Expected hours: 10 – 15 per week

Supplemental Pay:

• Overtime pay
• Performance bonus

Ability to commute/relocate:

• Virar, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred)

Education:

• Bachelor's (Required)

Experience:

• Teaching/Corporate: 3 years (Required)

Language:

• English (Required)

License/Certification:

• Certification in any Data Analytics Discipline (Preferred)

Work Location: In person