What you will be here to achieve

Develop, evaluate and improve AI/data-science capabilities that power personalization, learner support, recommendations, assessment intelligence and other Academy AI experiences.

The outcomes you will own

- Models and experiments
- learner-data pipelines
- evaluation frameworks
- personalization logic
- AI prototypes
- production handover
- monitoring metrics.

What you will do
- Explore learner and content data
- prototype ML/LLM solutions
- design experiments and evaluation metrics
- build data pipelines and features
- work with engineering on integration
- document assumptions and limitations
- monitor model quality
- iterate based on learner outcomes.

What you must bring
- 2–7 years in data science, machine learning or applied AI
- strong Python
- statistics and experimentation
- experience with ML frameworks and up-to-date LLM tooling




- ability to communicate model behavior to product and learning teams.

What will differentiate you
- Experimental mindset
- evidence-driven
- practical
- rigorous
- collaborative
- comfortable with rapid iteration.

Key deliverables
- Validated AI use cases
- model/evaluation quality
- speed from hypothesis to prototype
- reliable handover to engineering
- measurable improvement in learner experience or operational efficiency.

Why Crucifer Crucifer AI is building an AI-first learning and technology ecosystem from the ground up. You will work in a high-ownership environment where ideas are expected to become working outcomes quickly, with direct access to senior leadership and the opportunity to shape systems before they become fixed.

📌 Data Scientist – Academy AI (Kolkata)
🏢 CRUCIFER AI TECHNOLOGIES
📍 Kolkata