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Hire · Skill · Bengaluru · all levels · updated Aug 2026

Hire Hugging Face engineers in Bengaluru

Hire from 1,170 Hugging Face engineers tracked in Bengaluru. The market median is ₹10.1L per year all-in (₹85k/mo), or ≈ $18/hr for freelance contractors. Browse and filter the pool free; first pre-vetted shortlist within 48 hours.

1,170
Hugging Face engineers · Bengaluru · all levels
People who match the constraint, not a queue of job-seekers. Filter the pool; request a shortlist when it looks right.
Pool here 1.2k in Bengaluru
Median pay ₹10.1L see the bands →
Build your team browsing stays free · pay only when you engage
100+ teams built · Series A → Fortune 500 · ★ 4.6/5 CertifyOSCareemSprintoSwiggyLaunchDarklyRocketlane
01

Hugging Face engineers for hire in Bengaluru

10 profile previews of Hugging Face engineers in Bengaluru. Names, roles and skills shown; individual pay never. Pay lives only in the aggregate, on the salary page.

HAHardatFounderSenior · 6 yrs
TensorFlowLLMHugging Face ProductsPythonMachine Learning +3 more
NowStealth Startup · 1 yr
PreviouslyOsfin.ai, Saveo.in
PRPratikData ScientistSenior · 6 yrs
LangChainTensorFlowLLMHugging Face ProductsPython +3 more
NowJio · 3.8 yrs
PreviouslyAxtria - Ingenious Insights, Accenture
PRPrabhatSenior Machine Learning EngineerSenior · 6 yrs
LangChainTensorFlowLLMHugging Face ProductsPython +3 more
NowDream11 · 1.6 yrs
PreviouslyJPMorganChase, Finezza
SHShabarinathDirector of EngineeringSenior · 18 yrs
LangChainLLMHugging Face ProductsPythonMachine Learning +3 more
NowNess Digital Engineering · 4.8 yrs
PreviouslyGlobalLogic, Wipro
ANAnuMachine Learning EngineerEntry level · 1 yr
LangChainTensorFlowLLMHugging Face ProductsPython +3 more
NowWashington University in St. Louis · 1.2 yrs
PreviouslyWashington University in St. Louis, KPMG
ASAshishHead of Business IntelligenceSenior · 17 yrs
LangChainLLMHugging Face ProductsPythonMachine Learning +3 more
NowDiageo · 6.5 yrs
PreviouslyDiageo, Publicis Sapient
ANAnjaniSenior Technical SpecialistSenior · 15 yrs
LangChainLLMHugging Face ProductsPythonMachine Learning +3 more
NowAT&T · 7.4 yrs
PreviouslyAT&T, Honeywell
BRBrajPrincipal ManagerSenior · 13 yrs
TensorFlowLLMHugging Face ProductsPythonMachine Learning +3 more
NowKotak Mahindra Bank · 4 yrs
PreviouslyKotak Mahindra Bank, Bandhan Bank
PAPankajSenior Vice PresidentSenior · 20 yrs
LangChainLLMHugging Face ProductsPythonMachine Learning +3 more
NowJPMorganChase · 15.8 yrs
PreviouslyJPMorganChase, Bank of America
JAJaganAssistant Vice PresidentSenior · 16 yrs
LangChainLLMHugging Face ProductsPythonSQL +3 more
NowWells Fargo · 5.9 yrs
PreviouslySwiggy, Yodlee
02

Where to hire Hugging Face engineers

every row opens that page

Bengaluru holds the deepest matching pool, 1.2k of 6,985 profiles.

CityPool depthProfilesShare
All India7.0k
Bengaluru1.2k17% Chennai3996%
Pune3866%
Hyderabad3024%
Mumbai2884%
Noida1783%
Gurugram1602%
Kolkata1542%
03

Hire senior, mid-level or entry level Hugging Face engineers

every row opens that level's page

Most of the matching pool is entry level (75%). Senior-and-above talent is the scarce end, 10% of profiles, which is what drives the pay premium on the salary page.

Entry level 0–3 yrs 5.2k 75%
Mid-level 3–6 yrs 1.1k 15%
Senior 6+ yrs 692 10%
04

Hire dedicated, freelance or remote Hugging Face engineers

Every engagement model draws on the same pool and the same published market data: a dedicated hire at the medians above, a freelance contractor at modeled hourly rates, or remote-first from anywhere in India.

Dedicated hire ₹10.1L median full-time, all-in market comp for this cut
Freelance contractor $12/hr modeled 160 hrs/mo · 2× multiplier · market rate, not pricing
Remote Anywhere in India the work-mode filter narrows the pool in place
05

Plan this team

counts recompute in place · shared with the salary page
Entry level
0–3 yrs · 5.2k matching in the pool
1
Mid-level
3–6 yrs · 1.1k matching in the pool
2
Senior
6+ yrs · 692 matching in the pool
1
Your team · 4 people₹50L market all-in comp · ≈ $4,840/moEvery seat has a pool. Scarcest is senior, with 692 matching profiles. Benchmark it on the salary page . Build this team
What this talent earns Median ₹10.1L · middle half ₹5.6L₹19.1L · ≈ $12/hr as a contractor. Benchmark an offer or set a budget. Making an offer? Candidates negotiate on take-home, not CTC · in-hand salary calculator →
See the salary bands →
For employers · first profiles in 48 hours

Your first Hugging Face Engineer could be working in two weeks

Tell us the role and budget. First pre-vetted Hugging Face Engineer profiles within 48 hours. Browsing the pool stays free; you pay only when you engage.

"They work autonomously, are always responsive and consistently deliver excellent work."
Anshul Rathi Anshul Rathi Founder & CEO · CertifyOS
~2 wks to first engineer 100+ teams built
Methodology

Figures come from Flexiple's India talent graph, updated Aug 2026. Salary is self-disclosed annual CTC, published raw with no adjustment. We publish a number only where at least 25 people in that exact cut have disclosed one; below that the value is withheld rather than estimated. How we compute this →

Frequently asked questions

How do I hire Hugging Face engineers in Bengaluru? +

Browse the pool below and filter it to your constraint: skills, experience, budget, work mode. When it looks right, request a shortlist: Flexiple shares the first pre-vetted profiles within 48 hours, with compliance handled.

How many Hugging Face engineers are there in Bengaluru? +

1,170 profiles in the graph match Bengaluru · all levels. They are people who match the constraint, not a list of active job-seekers.

How much does it cost to hire a Hugging Face Engineer in Bengaluru? +

The market median is ₹10.1L per year all-in (≈ $12/hr as a contractor). Full bands, the level ladder and an offer benchmarker are one click away on the salary page.

Can I hire dedicated or freelance Hugging Face engineers? +

Both. Dedicated full-time hires benchmark at the published medians (₹10.1L/yr for this cut); freelance contractors model at ≈ $18/hr. Remote is the default; the work-mode filter narrows to hybrid or onsite.

How fast can Flexiple share profiles? +

First pre-vetted shortlist within 48 hours of a request. Browsing and filtering the pool is free; the shortlist request is the only ask.

Are these people available right now? +

We make no availability claims. The pool is everyone who matches the constraint; real availability is confirmed at shortlist time.

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