Remote NLP Engineer: Cutting-Edge Language AI & LLMs

Placements24; O Mente; Hybrid; EUR 49,000 - 70,000; Full time

Benefits offered by this job

Fully remote work flexibility

Health and dental coverage

Continuous learning & development

Access to advanced NLP tools

Job summary

Placements24 is seeking a skilled NLP Engineer to join their remote team. You will design, build, and deploy NLP models for applications such as classification, entity recognition, and QA, while developing large language models and integrating NLP into products.

You will analyze large text datasets and stay current with NLP research to deliver robust, scalable solutions in a fully remote setting. The role requires a strong background in NLP, Python, DL frameworks, and experience with modern NLP

Qualifications

• Master's or Ph.D. in CS, computational linguistics, AI, or related field with NLP specialization.
• 2–5 years hands-on NLP engineering experience.
• Proficiency with Python and NLP libraries (NLTK, spaCy, Hugging Face).
• Experience with DL frameworks TensorFlow or PyTorch.

Responsibilities

• Design, build, and deploy NLP models for text classification, entity recognition, and QA.
• Develop and fine-tune large language models (LLMs) for specific tasks.
• Process and analyze large volumes of textual data.
• Implement NLU and NLG systems.
• Collaborate with data scientists and software engineers to integrate NLP capabilities into products.
• Evaluate and improve performance of NLP models and pipelines.
• Stay up-to-date with NLP and deep learning advancements.
• Write clean, efficient, and well-documented code.
• Contribute to development of NLP tools and libraries.
• Troubleshoot and debug NLP systems.

Skills

Problem solving

Analytical thinking

Communication skills

Remote work adaptability

Education

Master's degree in CS/AI/Computational Linguistics

PhD in CS/AI/ NLP related field

Tools

NLTK

spaCy

Hugging Face Transformers

TensorFlow

PyTorch

Job description

Placements24 is seeking a skilled NLP Engineer to join their remote team. You will design, build, and deploy NLP models for applications such as classification, entity recognition, and QA, while developing large language models and integrating NLP into products.

You will analyze large text datasets and stay current with NLP research to deliver robust, scalable solutions in a fully remote setting. The role requires a strong background in NLP, Python, DL frameworks, and experience with modern NLP