Remote NLP Engineer: Build Next-Gen Language AI

Placements24; Paarl; Hybrid; ZAR 800.000 - 1.000.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Remote-first culture

Flexible working hours

Zusammenfassung

Placements24 is seeking an AI Software Engineer specializing in NLP to join our remote-first team. You will design, implement, and optimize NLP models and pipelines that power language understanding and generation across products.

Responsibilities include training and deploying NLP models with Python using spaCy, NLTK, and Hugging Face, processing large text datasets, collaborating with product managers, and delivering scalable, well-documented code. A strong ML and NLP foundation is essential.

Qualifikationen

• 3+ years of software development with a focus on NLP.
• Experience building and deploying NLP models in Python.
• Proficient with NLP libraries (spaCy, NLTK, HF Transformers, Gensim).
• Strong problem-solving and communication skills.

Aufgaben

• Develop and implement advanced NLP models for text classification, sentiment analysis, NER, MT, and QA.
• Design, build, and maintain NLP pipelines and services.
• Train and fine-tune NLP models using ML frameworks.
• Process and analyze large text datasets for quality and relevance.
• Collaborate with product managers and engineers to integrate NLP features.
• Optimize NLP models for performance, scalability, and accuracy.
• Stay updated with NLP research and AI advancements.
• Contribute to design and architecture of NLP-driven features.
• Write clean, well-documented code.

Kenntnisse

NLP development

Text data processing

Cloud ML services

English communication

Ausbildung

Bachelor's or Master's in CS/AI/Linguistics

Tools

spaCy

NLTK

Hugging Face Transformers

Gensim

TensorFlow

PyTorch

Python

Jobbeschreibung

Placements24 is seeking an AI Software Engineer specializing in NLP to join our remote-first team. You will design, implement, and optimize NLP models and pipelines that power language understanding and generation across products.

Responsibilities include training and deploying NLP models with Python using spaCy, NLTK, and Hugging Face, processing large text datasets, collaborating with product managers, and delivering scalable, well-documented code. A strong ML and NLP foundation is essential.