AI role · Open offer

ML Engineer — food delivery intelligence

Zomato

Full-time
Senior
Logistics ML
Hybrid
Plot 156, Gurgaon, HR 122002, India · Hybrid
Gurgaon, India
INR 30–50 LPA + ESOPs

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

4 skills2 tools

At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: Plot 156, Gurgaon, HR 122002, India · Hybrid
Compensation: INR 30–50 LPA + ESOPs
Experience level: Senior
Team: Logistics ML
Benefits & perks

About this role

What the team is looking for and how this position fits.

Zomato is hiring a Senior ML Engineer — food delivery intelligence on the Logistics ML team (Hybrid · Gurgaon, India). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Zomato runs food delivery and hyperlocal logistics from Gurgaon with national scale.

ML Engineer: ETA, dispatch optimization, and Hindi/English support LLM pilots.

Missions

Real-time logistics models during peak meal hours.
Evaluated copilots for rider and customer support.

Stack & environment

Python, PyTorch, LangChain, Spark.

What we look for

Logistics or marketplace ML; hybrid Gurgaon.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
PyTorch

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.
SparkTool
Distributed feature generation and batch scoring on large tabular or event datasets.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: ETA, dispatch, or support LLM with Hindi/English eval coverage.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, PyTorch, SQL, and Docker.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Gurgaon, India)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: INR 30–50 LPA + ESOPs, benefits in At a glance) and your expectations align.

Apply

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What the employer asked for

ETA, dispatch, or support LLM with Hindi/English eval coverage.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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