01
Named entity recognition
Custom-trained models that extract clinical, financial or legal entities from unstructured text.
Senior / Staff
Hire senior NLP and text analytics engineers
NLP engineers who build fast text classification, entity extraction and search pipelines — and who know when a small fine-tuned model beats an LLM on cost and speed.
Role profile
What we look for in a Senior NLP Engineer
Seniority and experience are agreed in the proposal, and you interview every engineer before they start. These are the skills that interview should test.
02
Embeddings and semantic search
Fine-tuning embedding models such as BGE or MiniLM so similarity search understands your domain.
03
Fast text classification
Small transformer or spaCy classifiers served on CPU for moderation, routing and tagging at volume.
Typical work
What a Senior NLP Engineer typically works on
Examples of the scope this role is hired for. Your statement of work sets the actual deliverables and how they are accepted.
- 01Customer feedback classification by sentiment and topic
- 02Contract clause extraction and risk flagging
- 03Clinical entity extraction from physician notes
- 04Low-latency classification services on CPU instances
Stack and tools
What this role works with day to day. Tell us your stack and we’ll say plainly which parts we can staff.
- Python
- spaCy
- Hugging Face
- FastAPI
- Transformers
- pgvector
Technology guides
Related service
AI development servicesAI built for the compliance review — validated outputs, humans in the loop, results measured in cycle time.
How hiring works
Four steps, agreed in writing before anyone starts
01
Tell us the role
The stack, the seniority you need, the hours you want covered, and any certifications the work requires. We reply within one business day.
02
We propose engineers
A written proposal sets out who we'd put forward, their seniority and experience, the scope, and the terms. If we can't staff the role well, we say so.
03
You interview every engineer
Nobody starts on your codebase until you've interviewed them and agreed. Use the skills on the role page as your interview checklist.
04
Working arrangements go in the SOW
Working-hours overlap is agreed for each engagement and written into the statement of work — the shared window, who shifts hours, and how handoffs work outside it.
QuantmHill provides development teams from India for Indian startups and SMEs. Role profiles describe project capabilities; availability is confirmed for your engagement. Our team works on India Standard Time. Project working hours, availability and handoff responsibilities are agreed before kickoff.
Need specific certifications? Tell us at the start and we'll confirm whether we can staff to that requirement before you sign. There are no recruiting fees.
FAQ
Questions about hiring a Senior NLP Engineer
Answered the way we would on a call. If yours isn’t here, send it — we reply within one business day.
Use spaCy or a small transformer for high-volume, well-defined tasks where speed, cost and consistency matter. Use an LLM for nuanced reasoning or tasks you can't easily label. Many pipelines combine both.
Yes. We fine-tune on your own text — with your labels, or ones we help you create — so models recognize your acronyms, part numbers and jargon.
Related roles
Similar and adjacent roles
Add a Senior NLP Engineer to your team
Tell us the stack, the seniority you need and the hours you want covered. We reply within one business day, and you interview every engineer before they start.