Natural Language Processing Engineer

Bucharest - Romania

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Job Description:

We are seeking a skilled Natural Language Processing (NLP) Engineer with a strong foundation in pre-training techniques state-of-the-art transformer architectures and advanced post-training tools. This role will focus on developing refining and deploying cutting-edge NLP systems including speech-to-text engines retrieval-augmented generation (RAG) frameworks and real-world applications of language models. You will collaborate with a multidisciplinary team to create robust scalable solutions that address complex natural language challenges.

Responsibilities:

Model Development and Pre-Training: Research and implement advanced pre-training techniques for NLP models including self-supervised learning and masked language modeling. Fine-tune transformer-based architectures (e.g. BERT GPT T5) to achieve state-of-the-art performance on domain-specific tasks.

Post-Training and RAG Implementation: Develop and optimize retrieval-augmented generation pipelines leveraging tools like LangChain for knowledge integration.

Speech-to-Text Systems: Evaluate and deploy automatic speech recognition (ASR) tools such as Whisper DeepSpeech or Kaldi ensuring high accuracy across diverse audio datasets. Integrate ASR outputs into NLP pipelines for seamless speech-to-text applications.

Model Deployment and Optimization: Collaborate with DevOps teams to deploy NLP models in production environments ensuring scalability low latency and reliability.

Data Processing and Feature Engineering: Build and maintain pipelines for tokenization text normalization and feature extraction tailored to specific use cases. Optimize large-scale datasets for efficient model training and :Educational Background:

Requirements:

Bachelors Masters or PhD in Natural Language Processing Machine Learning Artificial Intelligence Data Science or a related :

Minimum 3 years of professional experience in NLP machine learning or related Skills:

Expertise in transformer architectures (e.g. BERT GPT T5) and pre-training methodologies.

Experience with post-training tools like LangGraph LangChain and retrieval-based frameworks (RAG).

Familiarity with ASR engines such as Whisper DeepSpeech Kaldi or Julius and their integration into NLP pipelines.

Strong programming skills in Python with experience in libraries like Hugging Face Transformers PyTorch and TensorFlow.

Knowledge of model deployment technologies (e.g. Docker Kubernetes) and serving frameworks like FastAPIor TorchServe.

Proficiency with data processing tools such as spaCy NLTK and OpenAI Skills:

Experience with optimizing NLP models for real-time inference and low-latency environments.

Familiarity with vector search engines like FAISS Pinecone or Weaviate.

Understanding of domain-specific language tasks such as named entity recognition (NER) text summarization or sentiment analysis.

Compensation: Compensation will amount to approximately $15000 to $25000 USD for the duration of the contract estimated to be six months; Could be extended longer.

Job Types: Full-time Contract

Contract length: 6 months

Work Location: Remote

Job Description: We are seeking a skilled Natural Language Processing (NLP) Engineer with a strong foundation in pre-training techniques state-of-the-art transformer architectures and advanced post-training tools. This role will focus on developing refining and deploying cutting-edge NLP systems inc...