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ML Engineer — Search Ranking
T1
Flipkart

ML Engineer — Search Ranking

Flipkart's search & discovery team seeks ML Engineers. ₹35-65 LPA + RSUs. Bengaluru. Eligibility: B.Tech/M.Tech with 4+ years in search/recsys/ranking. Required: deep retrieval & ranking expertise, vector search, query understanding, large-scale serving. Direct apply.
private-mnc
ML Engineer
mid
on-site

Quick answer: ML Engineer at Flipkart's search & discovery team. ₹35–65 LPA. Requires 4+ years in search/ranking/recsys. Direct apply via flipkartcareers.com. Core AI role building ranking models and vector search systems.

About this ML Engineer role at Flipkart

Flipkart, India's leading e-commerce platform, is hiring ML Engineers for its search & discovery team in Bengaluru. This is a core machine learning role where you'll own ranking algorithms that power search results for millions of users — a high-impact opportunity for mid-level engineers ready to work on large-scale systems.

What you'll do

  • Design and optimize ranking algorithms that determine search result quality for Flipkart's massive product catalog
  • Build and serve vector-based retrieval systems for semantic search at scale
  • Develop query understanding models to map user intent to relevant products
  • Implement deep learning architectures for ranking, using frameworks like TensorFlow
  • Work on large-scale ML systems that handle real-time inference and serve millions of queries daily
  • Collaborate with data engineers and product teams to iterate on search performance metrics

Who should apply

You need a B.Tech or M.Tech degree and 4+ years of professional experience in search, recommendation systems, or ranking. This is a mid-level ML Engineer role — ideal if you have hands-on expertise in deep retrieval, ranking algorithms, and vector search. You should be fluent in Python and comfortable working with large-scale distributed systems.

Salary & offer in context

Flipkart offers ₹35–65 LPA plus RSUs (restricted stock units). For an ML Engineer in Bengaluru at the mid level, this is competitive for India's private-sector AI roles. The salary reflects Flipkart's scale and the criticality of search ranking to their business.

Path to apply

Apply directly through Flipkart's online careers portal — no written exam, no lengthy screening delays. This is a direct-apply role at a private multinational tech company. The application deadline is June 12, 2026, so submit your resume and portfolio soon to ensure consideration.

At a glance

Sector
Private-mnc
Apply mode
Online-portal
Role
ML Engineer
Experience
Mid
Salary
₹2.9L–₹5.4L/mo
Location
Bengaluru
Arrangement
On-site
Deadline
12 Jun 2026
Last verified
12 Jun 2026

Free course ladder to qualify for ML Engineer roles

AIshala-vetted free courses sequenced for this role. Total prep time: 6 weeks.

Step 1
Free AI foundations
Teaches TensorFlow fundamentals needed to build and deploy ranking models at scale on Flipkart's infrastructure.
Step 2
Practice + portfolio
Covers deep neural networks and architectures essential for semantic understanding and ranking algorithm design.
Step 3
Apply with confidence
While search-focused, computer vision techniques like embeddings and vector representations underpin modern vector search systems.

Frequently asked questions

How do I apply for this role?

Click Apply on Flipkart 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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