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AI Engineer — Adaptive Learning Platform
T1
BYJU'S

AI Engineer — Adaptive Learning Platform

BYJU'S is hiring AI Engineers for adaptive learning algorithms. ₹20-40 LPA. Bengaluru. Eligibility: 3+ years building edtech / recsys / NLP models. Direct apply.
private-mnc
AI Engineer
mid
on-site

Quick answer: BYJU'S hiring AI Engineers (₹20–40 LPA, Bengaluru) for adaptive learning algorithms. 3+ years edtech/recsys/NLP experience required. Direct apply via byjus.com/careers. Private-sector core AI role.

About this AI Engineer role at BYJU'S

BYJU'S, India's leading edtech platform, is hiring AI Engineers in Bengaluru to build adaptive learning algorithms that personalize education for millions of students. This is a mid-level opportunity for experienced ML engineers ready to work on real-world recommendation systems and NLP models that directly impact learning outcomes.

What you'll do

  • Design and deploy adaptive learning algorithms that personalize content delivery based on student behavior and performance
  • Build recommendation systems that suggest the right courses and exercises to each learner
  • Develop and optimize NLP models for content understanding and student interaction analysis
  • Work with Python, TensorFlow, and PyTorch to train and fine-tune machine learning models at scale
  • Collaborate with data science and product teams to evaluate model performance and iterate on improvements

Who should apply

You need 3+ years of hands-on experience building machine learning systems, ideally in edtech, recommendation systems, or NLP. This is a mid-level role suited for engineers who've shipped models to production and can lead technical design conversations. If you've worked on personalization engines or adaptive learning systems, you're a strong fit.

Salary & offer in context

BYJU'S offers ₹20–40 LPA (₹1,66,667–₹3,33,333/month) for this AI Engineer role in Bengaluru. For mid-level AI engineers in India's private sector, this range is competitive and reflects the growing demand for ML talent in high-growth edtech companies.

Path to apply

This is a direct application role through BYJU'S careers portal—no competitive exam required. You can apply online starting now; the application deadline is 2 June 2026, so don't delay if this aligns with your goals. Simply visit byjus.com/careers, search for the AI Engineer position in Bengaluru, and submit your resume and portfolio.

At a glance

Sector
Private-mnc
Apply mode
Online-portal
Role
AI Engineer
Experience
Mid
Salary
₹1.7L–₹3.3L/mo
Location
Bengaluru
Arrangement
On-site
Deadline
2 Jun 2026
Last verified
31 May 2026

Free course ladder to qualify for AI Engineer roles

AIshala-vetted free courses sequenced for this role. Total prep time: 4 weeks.

Step 1
Free AI foundations
Refresh foundational AI concepts and ML workflows before diving into advanced NLP and recommendation systems.
Step 2
Practice + portfolio
Understand transformer architectures and fine-tuning techniques essential for modern NLP-driven adaptive learning systems.
Step 3
Apply with confidence
Master advanced generative AI applications in personalization, which directly applies to BYJU'S adaptive algorithm design.

Frequently asked questions

How do I apply for this role?

Click Apply on BYJU'S at the top of this page to go to the employer's official application form. AIshala does not collect applications — we link you directly to the source.

Is this role actively hiring?

Yes — we verify every listing and remove closed positions. The deadline (when set) is shown in the badge at the top. If you spot a stale listing, flag it via Contact and we'll review within 24 hours.

What free courses prepare me for this role?

Browse the course ladder section above — these are AIshala-vetted free courses sequenced for this specific role's skills. Estimated total prep time is shown next to each step.

Will AIshala help me with my application?

We don't directly mentor applicants, but our City Chapters have ambassadors and peer groups who do informal application reviews. Find your nearest chapter on the Chapters page.

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