Principal NLP Engineer - Large Language Models

Placements24

Pretoria

Hybrid

ZAR 1,200,000 - 2,100,000

Full time

33 hours ago
Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

WhatJobs Direct is seeking a Principal NLP Engineer to lead the design, development, and deployment of cutting-edge NLP solutions that leverage large language models. The role emphasizes technical leadership, mentorship, and strategic influence in a remote-first setting.

You will drive research, build robust ML pipelines, fine-tune LLMs, and collaborate with global teams to deliver impactful language AI solutions across industries.

Qualifications

  • Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field with a specialization in NLP.
  • 7+ years of experience in Natural Language Processing with a focus on Large Language Models (e.g., GPT, BERT, T5).
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Deep understanding of tokenization, embeddings, attention mechanisms, and transformer architectures.
  • Experience with NLP libraries such as Hugging Face Transformers, spaCy, or NLTK.
  • Proven ability to lead complex projects and mentor technical teams.
  • Excellent communication skills and the ability to explain complex technical concepts.
  • Strong problem-solving skills and a passion for innovation in AI.

Responsibilities

  • Lead the design, development, and optimization of NLP models, particularly LLMs, for various applications.
  • Conduct research into novel NLP techniques and architectures, staying at the forefront of the field.
  • Develop and implement robust pipelines for data preprocessing, model training, and evaluation of NLP systems.
  • Fine-tune and adapt pre-trained LLMs for specific downstream tasks and domain requirements.
  • Collaborate with cross-functional teams to integrate NLP solutions into products and services.
  • Provide technical mentorship and guidance to junior NLP engineers and data scientists.
  • Author technical documentation, research papers, and present findings to stakeholders.
  • Ensure the ethical and responsible development and deployment of NLP technologies.

Skills

NLP expertise
Python
Deep learning

Education

Master's or PhD in CS/Computational Linguistics with NLP specialization

Tools

PyTorch
TensorFlow
Hugging Face Transformers
spaCy
NLTK

Job description

About the Role

WhatJobs Direct is seeking a Principal NLP Engineer with expertise in Large Language Models (LLMs) for a fully remote, impactful role. You will spearhead the research, development, and deployment of cutting-edge natural language processing solutions that leverage the power of LLMs. This position requires a deep understanding of NLP techniques, model architectures, and their practical application in solving complex business problems. As a Principal Engineer, you will provide technical leadership, mentor junior team members, and influence the strategic direction of our NLP initiatives. This is a remote-first opportunity, enabling you to contribute from anywhere while collaborating with a dynamic and talented global team. You will be at the forefront of innovation, shaping how businesses interact with language-based AI, driving significant advancements in text analysis, generation, and understanding, supporting the innovative spirit of places like Pretoria, Gauteng, ZA .

Key Responsibilities
  • Lead the design, development, and optimization of NLP models, particularly LLMs, for various applications.
  • Conduct research into novel NLP techniques and architectures, staying at the forefront of the field.
  • Develop and implement robust pipelines for data preprocessing, model training, and evaluation of NLP systems.
  • Fine-tune and adapt pre-trained LLMs for specific downstream tasks and domain requirements.
  • Collaborate with cross-functional teams to integrate NLP solutions into products and services.
  • Provide technical mentorship and guidance to junior NLP engineers and data scientists.
  • Author technical documentation, research papers, and present findings to stakeholders.
  • Ensure the ethical and responsible development and deployment of NLP technologies.
Requirements
  • Master's or Ph.D. degree in Computer Science, Computational Linguistics, or a related field with a specialization in NLP.
  • Extensive experience (7+ years) in Natural Language Processing, with a strong focus on Large Language Models (e.g., GPT, BERT, T5).
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Deep understanding of NLP concepts like tokenization, embeddings, attention mechanisms, and transformer architectures.
  • Experience with NLP libraries such as Hugging Face Transformers, spaCy, or NLTK.
  • Proven ability to lead complex projects and mentor technical teams.
  • Excellent communication skills and the ability to explain complex technical concepts.
  • Strong problem-solving skills and a passion for innovation in AI.
Benefits
  • This fully remote position offers a highly competitive salary, commensurate with your experience and expertise.
  • You will receive a comprehensive benefits package, including health, dental, and vision insurance, along with a generous retirement plan.
  • We support continuous learning and professional growth through access to online courses, workshops, and virtual conferences.
  • As part of our remote-first culture, you'll enjoy significant flexibility and autonomy in your work.
  • Our client values innovation and collaboration, providing a stimulating environment that fosters creativity, echoing the potential for technological advancement in regions like Pretoria, Gauteng, ZA .
Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Principal Nlp Engineer - Large Language Models
Principal Nlp Engineer - Large Language Models

Placements24 • Durban

Hybrid
ZAR 1,800,000 - 3,200,000
Competitive salary package
Health insurance and benefits
Flexible remote work
+2
Remote Principal Machine Learning Engineer - NLP Focus
Remote Principal Machine Learning Engineer - NLP Focus

Placements24 • Pretoria

Hybrid
ZAR 1,500,000 - 2,100,000
Highly competitive salary and bonus
Comprehensive health benefits
Generous paid time off
+2
Remote Principal Machine Learning Engineer - NLP Focus
Remote Principal Machine Learning Engineer - NLP Focus

Placements24 • South Africa

Remote
ZAR 1,200,000 - 1,800,000
Competitive salary and bonus
Health and wellness benefits
Generous paid time off
+2
Principal NLP Engineer - Generative AI
Principal NLP Engineer - Generative AI

Placements24 • Rustenburg

Hybrid
ZAR 3,046,000 - 4,061,000
Remote work
Stock options
Health insurance
Lead Machine Learning Engineer - NLP
Lead Machine Learning Engineer - NLP

Placements24 • Kempton Park

Remote
ZAR 1,200,000 - 2,000,000
Competitive salary
Health, dental, and vision insurance
Learning budget for conferences and up
+1
Principal AI Engineer - Natural Language Processing
Principal AI Engineer - Natural Language Processing

Placements24 • Pretoria

Hybrid
ZAR 1,200,000 - 1,800,000
Hybrid work model
Professional development opportunities
Conference attendance & learning
Principal Machine Learning Engineer - NLP
Principal Machine Learning Engineer - NLP

Placements24 • Centurion

Hybrid
ZAR 1,800,000 - 3,000,000
Competitive salary
Stock options
Health insurance
+3
Lead Natural Language Processing Engineer
Lead Natural Language Processing Engineer

Placements24 • Cape Town

Hybrid
ZAR 1,200,000 - 2,000,000
Fully remote work
Competitive compensation
Professional development
+1
Remote Lead AI Engineer - Natural Language Processing
Remote Lead AI Engineer - Natural Language Processing

Placements24 • LegKraal Gate

Hybrid
ZAR 1,200,000 - 2,000,000
Health, dental and vision insurance
Retirement plan
Remote-first with home office support
+1
Machine Learning Engineer - NLP Focus
Machine Learning Engineer - NLP Focus

Placements24 • Paarl

Hybrid
ZAR 900,000 - 1,200,000
Health insurance
Remote work flexibility
Professional development opportunities