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@TextParser

NLP Engineer

$ 108,000/yr

Available now

Bucharest, Romania6 years

TransformersSpaCyHuggingFacePythonNLTKPyTorchBERTTokenizationWord EmbeddingsText Classification

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Wigiwork helps companies discover NLP engineers and computational linguists with real commercial experience in training LLMs, deploying sentiment analysis engines, and building sophisticated conversational AI interfaces.

Instead of relying only on public job ads, recruiter markups, or cold outreach, companies use Wigiwork to review anonymous profiles by NLP stack, LLM experience, language model skills, availability, work type, location, and compensation before requesting access.

Core NLP Technologies

Libraries: Hugging Face Transformers, spaCy, NLTK, Gensim, PyTorch, TensorFlow
Models: LLMs (GPT, Llama, BERT, RoBERTa), RNNs/LSTMs, Attention Mechanisms
Applications: Chatbots, Sentiment Analysis, Named Entity Recognition (NER), Machine Translation

For NLP Engineers

NLP engineers use Wigiwork to stay private, set their expected salary or contractor rate, and get discovered for remote, hybrid, onsite, contract, freelance, and permanent opportunities. Your identity stays anonymous by default until you choose to approve a direct access request from a verified company.

Supported Work Types

Remote NLP engineer roles
Hybrid conversational AI positions
Onsite language modeling roles
Contract text analytics projects
Freelance AI linguistics consultancy
Permanent NLP software engineering jobs

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Use Wigiwork to discover NLP engineers by skills, experience, availability, work type, location, and compensation expectations.

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NLP Engineer Hiring FAQs

Search Wigiwork by NLP role, LLM experience, language model stack, Python skills, work type, availability, salary, and location. Review anonymous profiles first, then request access when there is a serious hiring match.

Wigiwork helps companies discover off-market NLP engineers without relying only on job boards, recruiter markups, or cold outreach. Profiles can be reviewed anonymously before identity or contact access is approved.

NLP engineers usually work across language models, text classification, named entity recognition, embeddings, tokenization, chatbots, sentiment analysis, machine translation, and conversational AI. Common skills include Python, Hugging Face, Transformers, spaCy, NLTK, PyTorch, TensorFlow, BERT, Llama, RAG, vector databases, and prompt engineering.

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