Hire Dedicated NLP Engineers — India, US, UK & Australia
Hire pre-vetted NLP engineers who turn raw text into structured insight — classification, extraction, summarisation, and language understanding at scale. Golonex places dedicated India-based NLP engineers with US, UK, Australian, and Indian teams — working in your timezone, under NDA, integrated within one week and with no lock-in.
What a NLP Engineer does
An NLP engineer builds systems that process and understand human language: named-entity recognition, sentiment and intent classification, topic modelling, summarisation, and semantic search. Our engineers are fluent with transformer architectures and the Hugging Face ecosystem, fine-tuning models like BERT and open LLMs, and shipping production inference services with tests, monitoring, and CI/CD.
Core expertise
What a Golonex NLP Engineer builds for you
How it works
Engagement models
Based in India, working in your timezone. Onsite options available across the US, UK, and India.
Category
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Data, AI & ML Engineers
The Golonex difference
Named, pre-vetted engineers
Every NLP Engineer is screened for technical depth, communication, and reliability before you meet them — a sub-30% pass rate at the technical stage.
Integrated within 1 week
From enquiry to working team member in 5 business days. We handle onboarding, NDA, and access logistics.
Your timezone
India-based talent working overlapping hours with US, UK, and Australian teams. Daily standups and real-time collaboration, agreed upfront.
NDA-protected, no lock-in
Full IP and confidentiality protection as standard. Month-to-month engagements — scale up or down as your project evolves.
Hiring a NLP Engineer — FAQs
How quickly can I hire an NLP engineer through Golonex? +
Typically within one week. We shortlist pre-vetted NLP engineers matched to your task — extraction, classification, or fine-tuning — you interview them, and the selected engineer is onboarded to your tools within 5 business days.
Do your NLP engineers work in my timezone? +
Yes. Our engineers are India-based but work overlapping hours with US, UK, and Australian teams. The timezone overlap is agreed before the engagement so daily collaboration and model reviews happen in real time.
Can they fine-tune models on our proprietary text data? +
Yes. Our engineers fine-tune transformer and open-weight models on your domain data — legal, medical, financial, or support text — handling labelling strategy, training, and evaluation. Work is done under NDA and you own the resulting models and IP.
Do they work with modern LLMs or classical NLP? +
Both. Depending on the problem, our engineers use classical approaches (spaCy, scikit-learn) for lightweight, low-latency tasks and transformer or LLM-based methods where accuracy on nuanced language matters. They recommend the right tool rather than over-engineering.
How do you vet NLP engineers? +
Every candidate passes a technical assessment on real NLP scenarios plus an architecture review, a communication and remote-working assessment, and reference checks from at least two prior engagements. Our technical pass rate is under 30 percent.
Ready to hire a NLP Engineer?
Tell us the role, stack, and timeline. We'll match you with a named, pre-vetted engineer — integrated within 1 week.