NLP Engineer - Text Analytics

Placements24; Polokwane; Hybride; ZAR 600 000 - 900 000; Plein temps

Avantages offerts par ce poste

Fully remote position

Competitive salary

Professional growth opportunities

Access to high-end compute resources

Collaborative culture

Résumé du poste

Placements24 is seeking an NLP Engineer for a fully remote, remote-first team. You will develop and deploy NLP models that process and analyze text data, including sentiment, classification, and information extraction.

You will work with transformers, BERT, and GPT-style models to build production-ready applications from home near Polokwane. The role offers opportunities to work on challenging NLP problems with real-world impact, access to strong computational resources, and a collaborative

Qualifications

• Master's or PhD in CS, computational linguistics, AI, or related NLP field.
• Proven experience in developing and deploying NLP models.
• Strong NLP fundamentals: TF‑IDF, embeddings, seq2seq models.
• Strong Python skills and experience with NLP libraries (NLTK, spaCy, Transformers).
• Experience with PyTorch or TensorFlow and cloud environments is a plus.

Responsabilités

• Design, develop, and deploy NLP models for various text analytics tasks.
• Process and analyze large volumes of text data: cleaning, tokenization, feature extraction.
• Fine-tune state-of-the-art NLP models using Transformers (BERT, GPT).
• Build applications for text classification, named entity recognition, summarization, and QA.
• Collaborate with data scientists and engineers to productionize NLP solutions.
• Evaluate models, perform error analysis, iterate to improve accuracy.
• Stay updated with NLP research and ML advancements.
• Contribute to NLP infrastructure and tooling.
• Present findings and progress to stakeholders.

Connaissances

NLP modeling

Python

DL frameworks

NLP libraries

Cloud/data processing

Formation

Masters/PhD in CS/AI/NLP

Outils

Hugging Face Transformers

PyTorch

TensorFlow

Description du poste

About the Role

Our client is a leader in leveraging Natural Language Processing (NLP) to unlock insights from unstructured text data. We are seeking a talented NLP Engineer to join our dynamic, remote-first team. In this role, you will be instrumental in developing and deploying cutting-edge NLP models and applications that process, analyze, and understand human language. You'll work with vast amounts of text data, building solutions for tasks such as sentiment analysis, topic modeling, information extraction, and machine translation. This position offers the chance to work on challenging problems with significant real-world impact, contributing to products that redefine how businesses interact with information. Join our innovative team from anywhere and help us build the next generation of intelligent language understanding systems, remotely from your base near Polokwane .

Key Responsibilities

• Design, develop, and implement NLP models and algorithms for various text analytics tasks.
• Process and analyze large volumes of text data, including cleaning, tokenization, and feature extraction.
• Build and fine-tune state-of-the‑art NLP models using deep learning frameworks (e.g., Transformers, BERT, GPT).
• Develop applications for tasks such as text classification, named entity recognition, summarization, and question answering.
• Collaborate with data scientists and software engineers to integrate NLP solutions into production systems.
• Evaluate model performance, conduct error analysis, and iterate on models to improve accuracy and efficiency.
• Stay updated with the latest research and advancements in NLP and machine learning.
• Contribute to the development of NLP infrastructure and tooling.
• Present technical findings and project progress to stakeholders.

Requirements

• Master's or PhD in Computer Science, Computational Linguistics, AI, or a related field with a focus on NLP.
• Proven experience in developing and deploying NLP models and applications.
• Strong understanding of NLP concepts, techniques, and algorithms (e.g., TF‑IDF, word embeddings, sequence‑to‑sequence models).
• Proficiency in Python and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Experience with deep learning frameworks like PyTorch or TensorFlow.
• Familiarity with large‑scale data processing and cloud environments is a plus.
• Excellent problem‑solving, analytical, and critical thinking skills.
• Strong communication skills, with the ability to articulate technical details effectively in a remote setting.
• Ability to work independently and manage project timelines effectively.

Benefits

• Fully remote position allowing for flexible work arrangements.
• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Work with a talented and passionate team on exciting NLP challenges.
• Access to powerful computational resources and diverse datasets.
• Contribute to innovative products that leverage the power of language understanding.
• Collaborative and supportive company culture.