Hire Hugging Face Transformers Developer 
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Skip the sourcing grind. Get 3 to 4 hand-picked developers to
interview within 48 hours, and have the right one start within a week.
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Top 1.5%
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< 24 hours

Hire remote Hugging Face Transformers Developer

- LangChain
- PyTorch
- scikit-learn
- NumPy
- SQL
- See more
Senior AI engineer with more than 11 years of experience across support engineering, data science an...
Experience
11.5 years
Availability
Full-Time only


- Python
- Hugging Face Transformers
- PyTorch
Neetu writes code with the precision of an architect and the flair of an artist. From backend logic ...
Experience
15 years
Availability
Full-Time only


- Python
- Hugging Face Transformers
- PEFT (LoRA/QLoRA)
Rohit writes code with the precision of an architect and the flair of an artist. From backend logic ...
Experience
15 years
Availability
Full-Time only


- Python
- Hugging Face Transformers
- PyTorch
Eliza is the kind of developer who doesn't just ship code but engineers clarity, balance, and moment...
Experience
15 years
Availability
Full-Time only

- LangChain
- OpenAI API
- PyTorch
- LoRA (PEFT)
- Azure
- See more
AI engineer with 3.5 years of experience taking LLM systems from raw data to production. Fine-tunes ...
Experience
3.5 years
Availability
Full-Time only

- LangChain
- PyTorch
- Apache Airflow
- FastAPI
- scikit-learn
- See more
AI engineer with about three years of experience across LLM fine-tuning, evaluation and production d...
Experience
3 years
Availability
Full-Time only

- LangChain
- FastAPI
- PyTorch
- scikit-learn
- MediaPipe Hands
- See more
AI developer with 3.5 years of experience building computer vision and LLM solutions in production. ...
Experience
3.5 years
Availability
Full-Time only

- LangChain
- PyTorch
- scikit-learn
- NumPy
- SQL
Senior AI engineer with more than 11 years of experience across support engineering, data science an...
Experience
11.5 years
Availability
Full-Time only
Our engineers come from teams at:

Testimonials
Samantha R.
CTO at Finedge
We needed skilled developers fast, and they absolutely delivered. Within a week, we had a full team onboard and coding. Great communication, smooth process, and top-tier talent, couldn't ask for more.
David M.
Head of Product at NovaTech
ncredible experience. Our project deadlines were tight, and the developers we hired ramped up instantly. It's rare to find this level of technical skill and professionalism together.
Priya K.
VP Engineering at BrightPath
The hiring process was seamless. We interviewed three developers and hired two, and both exceeded expectations from day one. Highly recommend for anyone tired of endless sourcing.
Mark L.
CEO at ZenCloud Solutions
Exceptional talent and a no-hassle process. It felt like we added full-time employees without the hiring overhead. Truly one of the best decisions we made for scaling our tech team.
View more testimonials
4-stage technical screening
before reaching you.
who fit, not just who look
good on paper.

Skill guide
What to know about Hugging Face Transformers
Hugging Face Transformers is the open-source library most teams reach for when they want pretrained language, vision or audio models without training from scratch. US product teams use it to fine-tune models for classification, search, summarization and extraction, and to run open models in their own cloud when data cannot leave their environment. Look for engineers who choose model sizes deliberately, fine-tune efficiently with techniques such as LoRA, evaluate against a held-out set rather than demo prompts, and know how to serve and quantize models so latency and GPU cost stay predictable in production.
From our bench
Who our Hugging Face Transformers engineers are
Roles they hold
- AI Developer · 67% of them
- ML Engineer · 22% of them
- Data Engineer · 3% of them
Often paired with
Vetting
How we vet Hugging Face Transformers engineers
Every Hugging Face Transformers engineer starts with a profile review of their CV, projects and past pipelines or models, then a communication check, since data work depends on explaining results to non-technical stakeholders. A senior engineer runs the technical interview, probing SQL and query tuning, pipeline design, data quality checks, model evaluation and reproducibility, with live coding and a scenario drawn from real data problems. Only the top 1.5% of applicants are accepted and published.
Typical engagements
- Build or rebuild data pipelines that move product and business data into your warehouse reliably
- Take a machine learning model from notebook prototype to a monitored production service
- Tune slow queries, clean up data models and add quality checks so dashboards can be trusted
How to hire Hugging Face Transformers Developer
through DevHire

Submit a
free requestTell us what you're looking for: explore pre-vetted developers ready to interview.

Share your
project needsHop on a quick call to align on skills, timelines, and get a tailored estimate.

Meet top
candidatesReview 3 to 4 hand-picked developers within 48 hours, then interview and assess fit.

Hire and
onboard easilyWe handle contracts, payments, and admin, so you focus on scaling your team with confidence.
FAQ about hiring Hugging Face Transformers Developer
How much does it cost to hire a Hugging Face Transformers engineer?
Dev-Hire charges one all-inclusive monthly rate per engineer, covering the engineer, payroll, benefits, equipment, free replacement and our fee. You see the rate on each profile, pay month to month, and never pay setup or placement fees.
Will a Hugging Face Transformers engineer overlap with my data and product team?
Yes. Engineers work your hours with a stated daily overlap, which leaves time for standups, requirement discussions with analysts and reviewing results together the same day.
How do you vet Hugging Face Transformers engineers for data and AI work?
After a profile review and a communication check, a senior engineer interviews each candidate with live coding and a realistic data scenario. You interview the shortlist yourself, and if the engineer is not the right fit, we replace them at no extra cost.
Should I hire one Hugging Face Transformers engineer or a data team?
One engineer works well for a focused pipeline or model. For a wider data platform, a dedicated team can combine data engineering, analytics and machine learning skills under your lead, or a managed team adds a Dev-Hire delivery lead. Either way, the shortlist arrives within 48 hours.
What we do for you


Rigorous Talent
ScreeningWe handpick developers who excel in coding, communication, and collaboration. Only the best move forward.

Tailored Team
BuildingWe don’t rely on algorithms. Every match is human-curated based on your goals and culture.

Seamless Setup
& AdminWe handle contracts, compliance, onboarding, and payments, so you stay focused on results.

Reliable Project
BackupDedicated success managers, free replacements, and proactive solutions whenever you need backup.
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