About The Role
You'll be building the intelligent core of SetuAI — the recommendation systems and adaptive algorithms that make every student's learning path uniquely theirs. This is not a research role; it's applied ML with direct user impact.
You'll work with real data from 50,000+ students to improve our content recommendation engine, difficulty adaptation system, and predictive performance models. Results ship to production, not papers.
What you'll do
Design and improve the adaptive learning algorithm that personalizes content for each student
Build and iterate on recommendation models for question selection, topic ordering, and revision scheduling
Analyse student performance data to find patterns and inform product decisions
Collaborate with the product team to translate learning science principles into engineering features
Set up ML pipelines, model evaluation frameworks, and A/B testing infrastructure
Monitor model performance in production and respond to regressions
What you bring
3+ years of ML/AI engineering experience in a production environment
Strong Python skills: pandas,
scikit-learn, PyTorch or TensorFlow
Experience with recommendation systems or collaborative filtering
Comfortable with SQL and working with large structured datasets
Solid understanding of ML evaluation metrics and A/B testing methodology
Nice to have
Not required — but these will make you stand out.
Experience in EdTech, knowledge tracing, or cognitive science applications
Familiarity with LLMs and their application in tutoring or Q&A; systems
Background in Item Response Theory (IRT) or Bayesian Knowledge Tracing
What we offer
★Competitive salary + ESOPs
★Work on ML problems with real educational impact at scale
★₹30,000/yr learning stipend
★Health insurance and wellness benefits
★Hybrid setup in Pune with adaptable remote days
Our hiring process
Fast, transparent, and respectful of your time.
01
2 days
Application Review
02
30 min
Initial Assesment Call
03
2–3 day
📌 AI/ML Engineer (Pune)
🏢 Setu AI
📍 Pune